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README.md
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license: cc-by-4.0
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---
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license: cc-by-4.0
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---
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+
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+
# 🎨 Messy Prompt Dataset
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[](https://huggingface.co/datasets/Goku-OpenLab/messy-prompt-datasets) [](https://creativecommons.org/licenses/by/4.0/) [](https://huggingface.co/datasets/Goku-OpenLab/messy-prompt-datasets) [](https://huggingface.co/datasets/Goku-OpenLab/messy-prompt-datasets)
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> 🎨 A mixed collection of AI image prompts (500+). A bit of everything — raw and uncurated. Truly open source: No login, no ads, no redirection. Just pure data for AI creators.
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This project is a growing collection of diverse image generation prompts gathered from social platforms like Twitter/X. The entire dataset contains **500+ images**, all structured into a comprehensive dataset.
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Due to GitHub's limitations with large file storage, the full dataset is hosted on Hugging Face. The Hugging Face repository contains the generated **images (.jpeg / .webp)** and a structured **.jsonl file** that holds all prompt metadata.
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**Download the full dataset here:**
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[https://huggingface.co/datasets/Goku-OpenLab/messy-prompt-datasets](https://huggingface.co/datasets/Goku-OpenLab/messy-prompt-datasets)
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+
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## 🌐 Online Viewer
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No login required, lighting-fast response.
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👉 **[View Online](https://prompthub.gokuscraper.com/)**
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## 📖 Introduction
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Launched by **GokuOpenLab**, **messy-prompt-datasets** is a prompt data infrastructure project created for developers and researchers.
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In the current AI ecosystem, prompts are the new "productivity interface". However, reality reveals several issues:
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- Prompt data is highly fragmented.
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- There is a lack of unified structural standards.
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- Retrieving and reusing prompts is difficult.
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- They are not suitable for engineering and systematic utilization.
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This project's goal is NOT just to "display prompts", but to:
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> Transform internet prompts into **structured, calculable, and redistributable data assets.**
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## 🚫 Our Manifesto
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Before building this project, we analyzed the absolute chaos in the open-source community and decided to firmly say "NO":
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- **NO to black-box prompt distribution:** Closed systems that don't provide structured data and forbid secondary usage.
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- **NO to traffic-driven pseudo-open source:** Repositories using GitHub as clickbait while hiding core data behind private platforms or logins.
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- **NO to uncomputable data formats:** Simple text displays that cannot be parsed by programs or used for model training.
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## ✨ Why Goku Prompt Hub?
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### 1️⃣ 100% Open Data
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All collected data is fully accessible. There are no "preview versions" or locked contents.
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- Direct download via Hugging Face.
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- Seamless online browsing.
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### 2️⃣ Structured Data System (.jsonl)
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Our prompt data is stored in a structured JSONL format. Every single prompt undergoes unified parsing and standardization, connecting the image assets to their exact configurations.
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*Example entry from our JSONL records:*
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```json
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{
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"version": "1.0",
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"id": "MS_00827",
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"category": "Content Creation",
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"is_featured": false,
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"date": "",
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"slug": "isometric-rainbow-extrusion",
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"model_info": { "name": "messy", "version": "1.0" },
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"raw_p": "Retexture this image in the following JSON style aesthetic...",
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"media": {
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"images": ["messy/images/0/MS_00827_0.jpeg", "messy/images/0/MS_00827_1.jpeg"]
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},
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"spec": { "width": 680, "height": 680, "ratio": 1.0, "safety_rating": "Safe for Work" },
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"i18n": {
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"zh": {
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"t": "等距彩虹挤出设计",
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"p": "将此图像重新贴图为以下 JSON 风格美学...",
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"tags": ["等距3D", "彩虹渐变", "网格背景"]
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},
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"en": {
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"t": "Isometric Rainbow Extrusion Design",
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"p": "Retexture this image in the following JSON style aesthetic...",
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"tags": ["isometric-3d", "rainbow-gradient", "grid-background"]
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}
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},
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"platform": "x",
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"sourceLink": "https://x.com/hckmstrrahul/status/1925567579856453701",
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"file_name": "messy/images/0/MS_00827_0.jpeg"
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}
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```
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### 3️⃣ Developer Friendly
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- **Unified JSON Schema**: JSONL perfectly formats logs into lines of JSON objects.
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- **Database Ready**: Seamlessly import into SQLite, Supabase, or your local AI toolchains.
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- **One-line Python Integration**: Load the dataset directly into a Pandas DataFrame in 1 second:
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```python
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import pandas as pd
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# Load Goku's dataset instantly!
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url = "https://huggingface.co/datasets/Goku-OpenLab/messy-prompt-datasets/raw/main/metadata.jsonl"
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df = pd.read_json(url, lines=True)
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print(f"✅ Loaded {len(df)} structured prompts!")
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```
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### 4️⃣ Open License (CC BY 4.0)
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All data operates under the **CC BY 4.0 License**:
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- ✔ Free to use
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- ✔ Commercial use allowed
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- ✔ Modification allowed
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- ✔ Redistribution allowed
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- ❗ **Attribute original source required**
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## 📊 Data Overview
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- **Total Prompts:** 500+
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- **Languages:** English / Chinese
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- **Sources:** Twitter/X, Social platforms
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- **Update Frequency:** Continuous automated syncs.
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## 🛡️ Disclaimer
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The prompts and metadata in this repository are sourced from public internet communities and are strictly intended for learning, research, and data structuring purposes.
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The copyright of the original generated content belongs to the original creators. This project only provides data curation, structured processing, classification, and indexing; it does not claim copyright over the original context.
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If you are a copyright holder and believe there is an issue, please contact us via GitHub Issues or email. This project is not affiliated with Bytedance, OpenAI, Google, Anthropic, Midjourney, or any other specific model/platform.
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## 🤝 Contributing
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Welcome to Goku Prompt Hub!
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- **Submit an Issue:** Report bad quality or broken prompts.
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- **Submit a PR:** Contribute your high-quality prompt data.
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- **Star the repo:** Show your support and push prompt data infrastructure forward!
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---
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*Happy Prompting!*
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