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| title: README
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| ---
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| # OBay Data
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| **World-class training data production for frontier AI models.**
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| We build high-quality datasets that power the next generation of AI — from large language models to embodied intelligence.
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| ## What We Do
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| | Domain | Description |
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| |--------|-------------|
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| | 🧠 **Pre-training Data** | Large-scale, curated corpora for foundation model training |
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| | 🎯 **Post-training Data** | SFT, RLHF, DPO datasets for alignment and instruction-following |
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| | 🤖 **Embodied AI Data** | Robotics trajectories, gameplay recordings, sensor logs for world models |
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| | 🖼️ **Multimodal Data** | Image editing, composition, style transfer instruction sets |
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| ## Datasets
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| | Dataset | Description |
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| |---------|-------------|
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| | trajectory_demo | Terminal agent trajectories (ATIF format) |
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| | svg-multimodal-rubrics | SVG code generation + evaluation rubrics |
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| | image-editing-style-instruction-following | Style transfer + instruction following |
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| | swe-coding-instruction-following | SWE-bench coding tasks |
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| | world-model-gameplay-recording | Gameplay recording for world model training |
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| | multi-image-composition-instruction-following | Multi-image composition with instructions |
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| ## Contact
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| 🌐 [obaydata.com](https://obaydata.com) · 💻 [GitHub](https://github.com/simonsu20000) · ✉️ simon.su@obaydata.com
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