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