ijanhq8809/k12-ela-standards

K-12 English Language Arts Standards Dataset

📚 Comprehensive ELA Education Dataset

This dataset provides complete K-12 English Language Arts standards coverage for AI training and educational technology development.

📊 Dataset Summary

The K-12 ELA Standards Dataset contains:

• —546 educational standards across K-12
• —6487 AI training samples
• —Complete coverage of all major ELA domains

🎓 Educational Coverage

• —📖 Reading Literature: Fiction, poetry, drama, and literary analysis
• —📰 Reading Informational Text: Non-fiction, articles, and informational analysis
• —✍️ Writing: Narrative, informative, argumentative, and research writing
• —🗣️ Speaking and Listening: Oral communication and collaboration
• —📝 Language: Grammar, vocabulary, and language conventions

📈 Data Splits

• —Train: 4540 samples (70%)
• —Validation: 973 samples (15%)
• —Test: 974 samples (15%)

🎯 Task Types Available

• —learning_objective_generation: 1638 samples
• —ela_qa: 546 samples
• —cross_curricular_connections: 546 samples
• —assessment_creation: 1638 samples
• —standard_explanation: 546 samples
• —grammar_instruction: 273 samples
• —reading_strategy_guidance: 1040 samples
• —writing_instruction: 117 samples
• —vocabulary_instruction: 143 samples

🚀 Usage Examples

from datasets import load_dataset

# Load the complete ELA dataset
dataset = load_dataset("robworks-software/k12-ela-standards")

# Example 1: Reading comprehension tasks
train_data = dataset['train']
reading_samples = [ex for ex in train_data if 'reading' in ex.get('task', '').lower()]

# Example 2: Writing instruction
writing_samples = [ex for ex in train_data if ex.get('task') == 'writing_instruction']

# Example 3: Grade-specific content
elementary = [ex for ex in train_data if ex.get('metadata_grade_level') in ['K', '1', '2', '3', '4', '5']]

# Example 4: Domain-specific tasks
literature_tasks = [ex for ex in train_data if 'Literature' in ex.get('metadata_domain', '')]

🎯 Applications

For AI Developers:

• —Reading Comprehension AI: Build intelligent reading tutors
• —Writing Assistant Tools: Create AI writing coaches and feedback systems
• —Vocabulary Development: Develop personalized vocabulary learning apps
• —Literacy Assessment: Generate standards-aligned reading and writing assessments

For Educators:

• —Curriculum Planning: Align instruction with comprehensive standards
• —Assessment Creation: Generate ELA assessments at appropriate levels
• —Differentiated Instruction: Create materials for diverse learning needs
• —Cross-Curricular Literacy: Support reading and writing across subjects

📚 Unique Features

🔥 Complete K-12 Coverage: Full progression from emergent literacy to college prep 📖 All ELA Domains: Reading, Writing, Speaking, Listening, and Language 🎯 Standards-Aligned: Common Core ELA Standards alignment 🧠 AI-Optimized: Designed specifically for educational AI training 📊 Rich Metadata: Comprehensive tagging for flexible use

📖 Citation

@dataset{k12_ela_standards_2024,
  title={K-12 English Language Arts Standards Dataset},
  author={Educational AI Research Collective},
  year={2024},
  publisher={HuggingFace},
  url={https://huggingface.co/datasets/robworks-software/k12-ela-standards},
  license={CC-BY-4.0},
  note={Comprehensive K-12 ELA standards: 546 standards, 6487 training samples}
}

📊 Dataset Statistics

• —Total Standards: 546
• —Training Samples: 6487
• —Grade Range: K-12
• —Domains: 5 major ELA areas
• —Task Types: 9
• —License: CC-BY-4.0

🌟 Perfect Complement

This ELA dataset pairs perfectly with our mathematics dataset to provide comprehensive STEM + Humanities coverage for educational AI development.

Ideal for: EdTech companies, literacy researchers, AI developers, and educators building comprehensive educational technology solutions.