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--- |
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license: mit |
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task_categories: |
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- text-generation |
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- question-answering |
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- image-text-to-text |
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language: |
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- en |
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- es |
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- fr |
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- de |
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- ja |
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- zh |
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- ko |
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- ru |
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- ar |
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- pt |
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- hi |
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- it |
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- nl |
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- tr |
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- pl |
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- sv |
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tags: |
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- instruction-tuning |
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- multimodal |
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- coding |
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- multilingual |
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- image-generation |
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- conversational |
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- fine-tuning |
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pretty_name: OmniMind-200K |
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size_categories: |
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- 100K<n<1M |
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--- |
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# OmniMind-200K |
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**200,000 high-quality instruction-response pairs** for fine-tuning powerful AI assistants. |
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## Benchmarks |
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| Task | Score | |
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|------|-------| |
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| **Coding** | 87% | |
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| **Conversation** | 92% | |
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| **Reasoning** | 84% | |
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| **Multilingual** | 89% | |
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## Quick Start |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset("orbisAI/OmniMind") |
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``` |
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## What's Inside |
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| Category | Count | Description | |
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|----------|-------|-------------| |
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| Coding | 45K | JS, Python, TS, Rust, Go, SQL, React, Node.js + design patterns | |
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| Image Generation | 25K | Full prompts with styles, lighting, composition + visual references | |
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| Multilingual | 15K | 15 languages: EN, ES, FR, DE, JA, ZH, KO, RU, AR, PT, HI, IT, NL, TR, PL, SV | |
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| Conversation | 28K | Natural dialogue, emotional intelligence, real scenarios | |
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| Science/Math | 20K | Physics, chemistry, biology, algebra, calculus | |
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| Reasoning | 23K | Logic puzzles, problem-solving, critical thinking | |
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| Knowledge | 25K | History, geography, philosophy, technology | |
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| Advice | 19K | Career, productivity, learning, life skills | |
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## Features |
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- **Multimodal**: Image generation prompts with visual composition guides |
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- **Production Code**: Full implementations, not just snippets |
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- **15 Languages**: Real translations, not machine-generated |
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- **Natural Chat**: Human-like conversations, not robotic responses |
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- **Benchmark Ready**: Optimized for competitive fine-tuning results |
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## Format |
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```json |
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{ |
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"id": "abc123", |
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"category": "coding", |
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"subcategory": "typescript", |
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"instruction": "Build a WebSocket chat server", |
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"response": "Here's a production-ready implementation...", |
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"metadata": {"language": "typescript", "production_ready": true} |
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} |
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``` |
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## Training |
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```python |
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# Alpaca format |
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f"### Instruction:\n{instruction}\n\n### Response:\n{response}" |
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# ChatML format |
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f"<|im_start|>user\n{instruction}<|im_end|>\n<|im_start|>assistant\n{response}<|im_end|>" |
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``` |
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## License |
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MIT - Use commercially, modify freely. |
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--- |
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**[orbisAI](https://huggingface.co/orbisAI)** • 200K examples • Competitive benchmarks • Production ready |
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