Datasets:
Update README.md
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README.md
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dtype: string
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splits:
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- name: train
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num_bytes:
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num_examples: 13000
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download_size:
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dataset_size:
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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---
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dtype: string
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splits:
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- name: train
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num_bytes: 32462670063.0
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num_examples: 13000
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download_size: 6565441182
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dataset_size: 32462670063.0
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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license: cdla-permissive-2.0
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task_categories:
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- text-to-image
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- image-to-text
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- image-classification
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- reinforcement-learning
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language:
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- en
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tags:
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- Human
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- Preference
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- Coherence
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- Alignment
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- country
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- language
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- flux
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- midjourney
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- dalle3
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- stabeldiffusion
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- alignment
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- flux1.1
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- flux1
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- imagen3
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- aurora
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- lumina
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- recraft
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- recraft v2
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- ideogram
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- frames
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- reve ai
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- halfmoon
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- hidream
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- Imagen4
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- imagen-4.0-ultra-generate-exp-05-20
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size_categories:
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- 100K<n<1M
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pretty_name: Hidream-I1-full vs. Halfmoon / OpenAI 4o / Ideogram V2 / Recraft V2 / Lumina-15-2-25 /
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Frames-23-1-25 / Aurora / imagen-3 / Flux-1.1-pro / Flux-1-pro / Dalle-3 / Midjourney-5.2
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/ Stabel-Diffusion-3 - Human Preference Dataset
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---
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<style>
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.vertical-container {
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display: flex;
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flex-direction: column;
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gap: 60px;
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}
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.image-container img {
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max-height: 250px; /* Set the desired height */
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margin:0;
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object-fit: contain; /* Ensures the aspect ratio is maintained */
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width: auto; /* Adjust width automatically based on height */
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box-sizing: content-box;
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}
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.image-container {
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display: flex; /* Aligns images side by side */
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justify-content: space-around; /* Space them evenly */
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align-items: center; /* Align them vertically */
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gap: .5rem
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}
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.container {
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width: 90%;
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margin: 0 auto;
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}
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.text-center {
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text-align: center;
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}
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.score-amount {
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margin: 0;
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margin-top: 10px;
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}
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.score-percentage {Score:
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font-size: 12px;
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font-weight: semi-bold;
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}
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</style>
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# Rapidata Imagen 4 Preference
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<a href="https://www.rapidata.ai">
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<img src="https://cdn-uploads.huggingface.co/production/uploads/66f5624c42b853e73e0738eb/jfxR79bOztqaC6_yNNnGU.jpeg" width="400" alt="Dataset visualization">
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</a>
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This T2I dataset contains over 195k human responses from over 38k individual annotators, collected in just ~1 Day using the [Rapidata Python API](https://docs.rapidata.ai), accessible to anyone and ideal for large scale evaluation.
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Evaluating Imagen 4(imagen-4.0-ultra-generate-exp-05-20) across three categories: preference, coherence, and alignment.
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Explore our latest model rankings on our [website](https://www.rapidata.ai/benchmark).
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If you get value from this dataset and would like to see more in the future, please consider liking it ❤️
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## Overview
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This T2I dataset contains over 195k human responses from over 38k individual annotators, collected in just ~1 Day.
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Evaluating Imagen 4(imagen-4.0-ultra-generate-exp-05-20) across three categories: preference, coherence, and alignment.
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The evaluation consists of 1v1 comparisons between Imagen 4(imagen-4.0-ultra-generate-exp-05-20) and 14 other models: Hidream I1 full, Halfmoon-4-4-2025, OpenAI 4o-26-3-25, Ideogram V2, Recraft V2, Lumina-15-2-25, Frames-23-1-25, Imagen-3, Flux-1.1-pro, Flux-1-pro, DALL-E 3, Midjourney-5.2, Stable Diffusion 3, Aurora and Janus-7b.
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> **Note:** The number following the model name (e.g., Halfmoon-4-4-2025) represents the date (April 4, 2025) on which the images were generated to give an understanding of what model version was used.
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## Alignment
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The alignment score quantifies how well an video matches its prompt. Users were asked: "Which image matches the description better?".
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<div class="vertical-container">
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<div class="container">
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<div class="text-center">
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<q>A blue cup and a green cell phone.</q>
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</div>
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<div class="image-container">
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<div>
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<h3 class="score-amount">Imagen 4 </h3>
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<div class="score-percentage">Score: 100%</div>
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<img style="border: 3px solid #18c54f;" src="https://cdn-uploads.huggingface.co/production/uploads/664dcc6296d813a7e15e170e/8JcDYOeviHCwVQo0vLMB-.jpeg" width=500>
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</div>
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<div>
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<h3 class="score-amount">Frames-23-1-25 </h3>
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<div class="score-percentage">Score: 0%</div>
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<img src="https://cdn-uploads.huggingface.co/production/uploads/664dcc6296d813a7e15e170e/WmHuNZY4M_NWUMSTSofNL.jpeg" width=500>
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</div>
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</div>
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</div>
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<div class="container">
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<div class="text-center">
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<q>A person is walking with a guidebook and taking a tour of a historic site.</q>
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</div>
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<div class="image-container">
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<div>
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<h3 class="score-amount">Imagen 4</h3>
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<div class="score-percentage">Score: 0%</div>
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<img src="https://cdn-uploads.huggingface.co/production/uploads/664dcc6296d813a7e15e170e/RiyfAra-C5QcCT9lDiohg.jpeg" width=500>
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</div>
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<div>
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<h3 class="score-amount">Aurora</h3>
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<div class="score-percentage">Score: 100%</div>
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<img style="border: 3px solid #18c54f;" src="https://cdn-uploads.huggingface.co/production/uploads/664dcc6296d813a7e15e170e/SPbiu_SE8S4vRv6p0OZHo.jpeg" width=500>
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</div>
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</div>
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</div>
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</div>
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## Coherence
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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 image has **more** glitches and is **more** likely to be AI generated?"
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<div class="vertical-container">
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<div class="container">
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<div class="image-container">
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<div>
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<h3 class="score-amount">Imagen 4 </h3>
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<div class="score-percentage">Glitch Rating: 0%</div>
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<img style="border: 3px solid #18c54f;" src="https://cdn-uploads.huggingface.co/production/uploads/664dcc6296d813a7e15e170e/X2jimr0Icoqb4RlX6jG1j.jpeg" width=500>
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</div>
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<div>
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<h3 class="score-amount">Stable Diffusion 3 </h3>
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<div class="score-percentage">Glitch Rating: 100%</div>
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<img src="https://cdn-uploads.huggingface.co/production/uploads/664dcc6296d813a7e15e170e/UUllaDc48oxLXxeXbF_CD.jpeg" width=500>
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</div>
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</div>
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</div>
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<div class="container">
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<div class="image-container">
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<div>
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<h3 class="score-amount">Imagen 4 </h3>
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<div class="score-percentage">Glitch Rating: 100%</div>
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<img src="https://cdn-uploads.huggingface.co/production/uploads/664dcc6296d813a7e15e170e/1a5dQzX2XxTLIUcgimocy.jpeg" width=500>
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</div>
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<div>
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<h3 class="score-amount">Ideogram</h3>
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<div class="score-percentage">Glitch Rating: 0%</div>
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<img style="border: 3px solid #18c54f;" src="https://cdn-uploads.huggingface.co/production/uploads/664dcc6296d813a7e15e170e/pI5B7RxysOcUhVEzdqHFq.jpeg" width=500>
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</div>
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</div>
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</div>
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</div>
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## Preference
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The preference score reflects how visually appealing participants found each image, independent of the prompt. Users were asked: "Which image do you prefer?"
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<div class="vertical-container">
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<div class="container">
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<div class="image-container">
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<div>
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<h3 class="score-amount">Imagen 4</h3>
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<div class="score-percentage">Score: 81.83%</div>
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<img style="border: 3px solid #18c54f;" src="https://cdn-uploads.huggingface.co/production/uploads/664dcc6296d813a7e15e170e/b3ny4C5fRdfnoIlK3ocFi.jpeg" width=500>
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</div>
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<div>
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<h3 class="score-amount">Frames-23-1-25</h3>
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<div class="score-percentage">Score: 18.17%</div>
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<img src="https://cdn-uploads.huggingface.co/production/uploads/664dcc6296d813a7e15e170e/KDJSo6s6FMKpXiovP03cJ.jpeg" width=500>
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</div>
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</div>
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</div>
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<div class="container">
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<div class="image-container">
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<div>
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<h3 class="score-amount">Imagen 4 </h3>
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<div class="score-percentage">Score: 27.42%</div>
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<img src="https://cdn-uploads.huggingface.co/production/uploads/664dcc6296d813a7e15e170e/-g7n1pP8QRU0Gcv-iKF4q.jpeg" width=500>
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</div>
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<div>
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<h3 class="score-amount">Frames-23-1-25 </h3>
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<div class="score-percentage">Score: 72.58%</div>
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<img style="border: 3px solid #18c54f;" src="https://cdn-uploads.huggingface.co/production/uploads/664dcc6296d813a7e15e170e/BMXzpF1loC3wVfWuyj5VX.jpeg" width=500>
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</div>
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</div>
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</div>
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</div>
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## About Rapidata
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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.
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