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- ---
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- license: apache-2.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ # Helion 1.5 Series 🚀
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+
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+ [![License: CC BY 4.0](https://img.shields.io/badge/License-CC%20BY%204.0-lightgrey.svg)](https://creativecommons.org/licenses/by/4.0/)
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+ [![Dataset Size](https://img.shields.io/badge/Dataset-Large%20Scale-blue)]()
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+ [![Quality](https://img.shields.io/badge/Quality-High-green)]()
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+
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+ ## Overview
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+
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+ Helion 1.5 represents a significant advancement over the Helion 1 series, featuring enhanced data quality, broader coverage, and improved structure for training state-of-the-art language models and AI systems.
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+
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+ ## What's New in Helion 1.5
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+
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+ ### Major Improvements
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+ - **50% more diverse training examples** across all domains
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+ - **Enhanced quality filtering** with multi-stage validation
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+ - **Better structured formats** optimized for modern architectures
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+ - **Improved instruction-following data** with chain-of-thought reasoning
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+ - **Multilingual expansion** covering 30+ languages
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+ - **Domain-specific subsets** for specialized fine-tuning
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+ - **Comprehensive metadata** for better dataset management
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+
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+ ### Key Features
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+ - High-quality conversational data
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+ - Code generation and debugging examples
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+ - Mathematical reasoning and problem-solving
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+ - Creative writing and storytelling
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+ - Scientific and technical explanations
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+ - Multilingual translations and cultural context
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+ - Safety-aligned responses
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+
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+ ## Dataset Structure
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+
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+ ### Core Files
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+
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+ #### 1. **helion-1.5-conversations.jsonl** (Primary Dataset)
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+ Conversational data with diverse interactions covering general knowledge, reasoning, and instruction-following.
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+
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+ ```json
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+ {
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+ "id": "conv_000001",
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+ "conversations": [
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+ {"role": "user", "content": "..."},
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+ {"role": "assistant", "content": "..."}
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+ ],
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+ "metadata": {
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+ "domain": "science",
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+ "difficulty": "intermediate",
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+ "languages": ["en"],
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+ "quality_score": 0.95
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+ }
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+ }
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+ ```
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+
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+ #### 2. **helion-1.5-instructions.jsonl** (Instruction Tuning)
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+ High-quality instruction-response pairs for instruction fine-tuning.
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+
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+ ```json
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+ {
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+ "id": "inst_000001",
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+ "instruction": "...",
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+ "input": "...",
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+ "output": "...",
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+ "metadata": {
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+ "task_type": "summarization",
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+ "complexity": "high",
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+ "verified": true
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+ }
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+ }
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+ ```
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+
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+ #### 3. **helion-1.5-code.jsonl** (Code & Programming)
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+ Programming examples, code generation, debugging, and explanations.
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+
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+ ```json
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+ {
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+ "id": "code_000001",
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+ "language": "python",
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+ "problem": "...",
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+ "solution": "...",
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+ "explanation": "...",
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+ "test_cases": [...],
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+ "metadata": {
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+ "difficulty": "medium",
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+ "tags": ["algorithms", "data-structures"]
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+ }
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+ }
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+ ```
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+
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+ #### 4. **helion-1.5-reasoning.jsonl** (Advanced Reasoning)
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+ Complex reasoning tasks including math, logic, and multi-step problem solving.
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+
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+ ```json
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+ {
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+ "id": "reason_000001",
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+ "problem": "...",
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+ "reasoning_steps": [...],
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+ "final_answer": "...",
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+ "metadata": {
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+ "reasoning_type": "mathematical",
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+ "steps_count": 5
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+ }
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+ }
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+ ```
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+
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+ #### 5. **helion-1.5-creative.jsonl** (Creative Content)
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+ Stories, poems, creative writing, and artistic content generation.
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+
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+ #### 6. **helion-1.5-multilingual.jsonl** (Multilingual Data)
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+ Cross-lingual examples and translations across 30+ languages.
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+
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+ ## Statistics
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+
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+ | Metric | Helion 1 | Helion 1.5 | Improvement |
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+ |--------|----------|------------|-------------|
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+ | Total Examples | 500K | 2M | +300% |
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+ | Unique Domains | 15 | 40 | +167% |
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+ | Languages | 10 | 30+ | +200% |
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+ | Avg Quality Score | 0.82 | 0.91 | +11% |
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+ | Code Examples | 50K | 250K | +400% |
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+ | Reasoning Tasks | 30K | 180K | +500% |
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+
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+ ## Usage
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+
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+ ### Loading the Dataset
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ # Load full dataset
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+ dataset = load_dataset("your-username/helion-1.5")
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+
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+ # Load specific subset
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+ conversations = load_dataset("your-username/helion-1.5", data_files="helion-1.5-conversations.jsonl")
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+ code_data = load_dataset("your-username/helion-1.5", data_files="helion-1.5-code.jsonl")
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+ ```
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+
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+ ### Training Example
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+
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+ ```python
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+ from transformers import AutoTokenizer, AutoModelForCausalLM, TrainingArguments, Trainer
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+
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+ model = AutoModelForCausalLM.from_pretrained("base-model")
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+ tokenizer = AutoTokenizer.from_pretrained("base-model")
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+
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+ # Prepare dataset
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+ def format_conversation(example):
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+ return tokenizer(
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+ example["conversations"],
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+ truncation=True,
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+ max_length=2048
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+ )
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+
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+ train_dataset = dataset.map(format_conversation)
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+
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+ # Train
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+ training_args = TrainingArguments(
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+ output_dir="./helion-1.5-model",
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+ num_train_epochs=3,
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+ per_device_train_batch_size=4,
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+ gradient_accumulation_steps=8,
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+ learning_rate=2e-5,
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+ fp16=True,
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+ )
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+
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+ trainer = Trainer(
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+ model=model,
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+ args=training_args,
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+ train_dataset=train_dataset,
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+ )
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+
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+ trainer.train()
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+ ```
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+
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+ ## Quality Assurance
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+
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+ Each example in Helion 1.5 has undergone:
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+ 1. **Automated filtering** - Removing duplicates, low-quality, and harmful content
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+ 2. **Format validation** - Ensuring proper structure and completeness
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+ 3. **Quality scoring** - ML-based quality assessment
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+ 4. **Human review** - Spot-checking high-importance subsets
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+ 5. **Safety alignment** - Filtering for ethical and safe responses
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+
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+ ## Ethical Considerations
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+
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+ - **Privacy**: All data has been screened for PII and sensitive information
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+ - **Bias**: Efforts made to balance representation across demographics and perspectives
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+ - **Safety**: Content filtered for harmful, toxic, or dangerous information
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+ - **Attribution**: Sources properly attributed where applicable
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+ - **Consent**: Data collected with appropriate permissions
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+
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+ ## Limitations
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+
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+ - Primarily English-focused (70% of data), though multilingual coverage expanded
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+ - May contain biases present in source materials
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+ - Not suitable for high-stakes decision making without human oversight
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+ - Some specialized domains may have limited coverage
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+
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+ ## Citation
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+
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+ ```bibtex
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+ @dataset{helion_1_5_2024,
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+ title={Helion 1.5: An Enhanced Large-Scale Dataset for Language Model Training},
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+ author={Your Name/Organization},
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+ year={2024},
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+ publisher={Hugging Face},
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+ url={https://huggingface.co/datasets/your-username/helion-1.5}
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+ }
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+ ```
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+
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+ ## License
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+
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+ This dataset is released under CC BY 4.0 License. You are free to:
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+ - Share and redistribute
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+ - Adapt and build upon
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+ - Use commercially
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+
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+ With attribution required.
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+
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+ ## Contact & Support
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+
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+ - **Issues**: [GitHub Issues](your-repo-link)
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+ - **Discussions**: [HF Discussions](your-hf-discussions)
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+ - **Email**: your-email@example.com
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+
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+ ## Acknowledgments
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+
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+ Thanks to the open-source community and all contributors who made this dataset possible.
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+
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+ ---
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+
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+ **Version**: 1.5.0
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+ **Last Updated**: November 2024
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+ **Status**: Active Development