Duplicate from MizzenAI/HPDv3

Co-authored-by: Yunhaoshui <xilanhua12138@users.noreply.huggingface.co>

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+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+# Audio files - uncompressed
+*.pcm filter=lfs diff=lfs merge=lfs -text
+*.sam filter=lfs diff=lfs merge=lfs -text
+*.raw filter=lfs diff=lfs merge=lfs -text
+# Audio files - compressed
+*.aac filter=lfs diff=lfs merge=lfs -text
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+*.mp3 filter=lfs diff=lfs merge=lfs -text
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+*.png filter=lfs diff=lfs merge=lfs -text
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+*.jpg filter=lfs diff=lfs merge=lfs -text
+*.jpeg filter=lfs diff=lfs merge=lfs -text
+*.webp filter=lfs diff=lfs merge=lfs -text
+# Video files - compressed
+*.mp4 filter=lfs diff=lfs merge=lfs -text
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+train.json filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+license: mit
+language:
+- en
+pretty_name: HPDv3
+size_categories:
+- 1M<n<10M
+---
+<div align="center">
+
+# 🎯 HPSv3: Towards Wid-Spectrum Human Preference Score (ICCV 2025)
+
+[![Project Website](https://img.shields.io/badge/🌐-Project%20Website-deepgray)](https://research.nvidia.com/labs/par/addit/)
+[![arXiv](https://img.shields.io/badge/arXiv-2411.07232-b31b1b.svg)](https://arxiv.org/abs/2508.03789)
+[![ICCV 2025](https://img.shields.io/badge/ICCV-2025-blue.svg)](https://arxiv.org/abs/2508.03789)
+[![Model](https://img.shields.io/badge/🤗-Model-yellow)](https://huggingface.co/MizzenAI/HPSv3)
+[![Code](https://img.shields.io/badge/Code-black?logo=github)](https://github.com/MizzenAI/HPSv3)
+
+
+
+**Yuhang Ma**<sup>1,3*</sup>&ensp; **Yunhao Shui**<sup>1,4*</sup>&ensp; **Xiaoshi Wu**<sup>2</sup>&ensp; **Keqiang Sun**<sup>1,2†</sup>&ensp; **Hongsheng Li**<sup>2,5,6†</sup>
+
+<sup>1</sup>Mizzen AI&ensp;&ensp; <sup>2</sup>CUHK MMLab&ensp;&ensp; <sup>3</sup>King’s College London&ensp;&ensp; <sup>4</sup>Shanghai Jiaotong University&ensp;&ensp; <sup>5</sup>Shanghai AI Laboratory&ensp;&ensp; <sup>6</sup>CPII, InnoHK&ensp;&ensp; 
+
+<sup>*</sup>Equal Contribution&ensp; <sup>†</sup>Equal Advising
+
+
+</div>
+
+<p align="center">
+  <img src="assets/teaser.png" alt="Teaser" width="900"/>
+</p>
+
+
+
+# Human Preference Dataset v3
+
+Human Preference Dataset v3 (HPD v3) comprises **1.08M** text-image pairs and **1.17M** annotated pairwise data. To modeling the wide spectrum of human preference, we introduce newest state-of-the-art generative models and high quality real photographs while maintaining old models and lower quality real images.
+
+
+## How to Use
+```bash
+cat images.tar.gz.* | gunzip | tar -xv
+```
+
+## Detail information of HPDv3
+
+| Image Source | Type | Num Image | Prompt Source | Split |
+|--------------|------|-----------|---------------|-------|
+| High Quality Image (HQI) | Real Image | 57759 | VLM Caption | Train & Test |
+| MidJourney | - | 331955 | User | Train |
+| CogView4 | DiT | 400 | HQI+HPDv2+JourneyDB | Test |
+| FLUX.1 dev | DiT | 48927 | HQI+HPDv2+JourneyDB | Train & Test |
+| Infinity | Autoregressive | 27061 | HQI+HPDv2+JourneyDB | Train & Test |
+| Kolors | DiT | 49705 | HQI+HPDv2+JourneyDB | Train & Test |
+| HunyuanDiT | DiT | 46133 | HQI+HPDv2+JourneyDB | Train & Test |
+| Stable Diffusion 3 Medium | DiT | 49266 | HQI+HPDv2+JourneyDB | Train & Test |
+| Stable Diffusion XL | Diffusion | 49025 | HQI+HPDv2+JourneyDB | Train & Test |
+| Pixart Sigma | Diffusion | 400 | HQI+HPDv2+JourneyDB | Test |
+| Stable Diffusion 2 | Diffusion | 19124 | HQI+JourneyDB | Train & Test |
+| CogView2 | Autoregressive | 3823 | HQI+JourneyDB | Train & Test |
+| FuseDream | Diffusion | 468 | HQI+JourneyDB | Train & Test |
+| VQ-Diffusion | Diffusion | 18837 | HQI+JourneyDB | Train & Test |
+| Glide | Diffusion | 19989 | HQI+JourneyDB | Train & Test |
+| Stable Diffusion 1.4 | Diffusion | 18596 | HQI+JourneyDB | Train & Test |
+| Stable Diffusion 1.1 | Diffusion | 19043 | HQI+JourneyDB | Train & Test |
+| Curated HPDv2 | - | 327763 | - | Train |
+
+
+## Dataset Visualization
+<p align="left">
+  <img src="assets/datasetvisual_0.jpg" alt="Dataset" width="900"/>
+</p>
+
+
+## Dataset Structure
+
+### All Annotated Pairs (`all.json`)
+
+**Important Notes: In HPDv3, we simply put the preferred sample at the first place (path1)**
+
+`all.json` contains **all** annotated pairs except for test. There are three types of training samples in the json file.
+
+```json
+[
+    // samples from HPDv3 annotation pipeline 
+    {
+    "prompt": "Description of the visual content or the generation prompt.",
+    "choice_dist": [12, 7],           // Distribution of votes from annotators (12 votes for image1, 7 votes for image2)
+    "confidence": 0.9999907,         // Confidence score reflecting preference reliability, based on annotators' capabilities (independent of choice_dist)
+    "path1": "images/uuid1.jpg",     // File path to the preferred image
+    "path2": "images/uuid2.jpg",     // File path to the non-preferred image
+    "model1": "flux",                // Model used to generate the preferred image (path1)
+    "model2": "infinity"             // Model used to generate the non-preferred image (path2)
+    },
+    // samples from Midjourney
+    {
+    "prompt": "Description of the visual content or the generation prompt.",
+    "choice_dist": null,             // No distribution of votes Information from Discord
+    "confidence": null,              // No Confidence Information from Discord
+    "path1": "images/uuid1.jpg",     // File path to the preferred image.
+    "path2": "images/uuid2.jpg",     // File path to the non-preferred image.
+    "model1": "midjourney",          // Comparsion between images generated from midjourney 
+    "model2": "midjourney"           // Comparsion between images generated from midjourney 
+    },
+    // samples from Curated HPDv2
+    {
+    "prompt": "Description of the visual content or the generation prompt.",
+    "choice_dist": null,              // No distribution of votes Information from the original HPDv2 traindataset
+    "confidence": null,               // No Confidence Information from the original HPDv2 traindataset
+    "path1": "images/uuid1.jpg",     // File path to the preferred image.
+    "path2": "images/uuid2.jpg",     // File path to the non-preferred image.
+    "model1": "hpdv2",          // No specific model name in the original HPDv2 traindataset, set to hpdv2 
+    "model2": "hpdv2"           // No specific model name in the original HPDv2 traindataset, set to hpdv2 
+    },
+    ...
+]
+```
+
+### Train set (`train.json`)
+We sample part of training data from `all.json` to build training dataset `train.json`. Moreover, to improve robustness, we integrate random sampled part of data from [Pick-a-pic](https://huggingface.co/datasets/pickapic-anonymous/pickapic_v1) and [ImageRewardDB](https://huggingface.co/datasets/zai-org/ImageRewardDB), which is `pickapic.json` and `imagereward.json`. For these two datasets, we only provide the pair infomation, and its corresponding image can be found in their official dataset repository.
+
+
+### Test Set (`test.json`)
+```json
+[
+    {
+        "prompt": "Description of the visual content",
+        "path1": "images/uuid1.jpg",     // Preferred sample
+        "path2": "images/uuid2.jpg",     // Unpreferred sample
+        "model1": "flux",                //Model used to generate the preferred sample (path1).
+        "model2": "infinity",                //Model used to generate the non-preferred sample (path2).
+
+    },
+    ...
+]
+```

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