metadata
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
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
{
"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
# 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 • 200K examples • Competitive benchmarks • Production ready