Prime Intellect Releases SYNTHETIC-1: An Open-Source Dataset Consisting of 1.4M Curated Tasks Spanning Math, Coding, Software Engineering, STEM, and Synthetic Code Understanding

📊 High-Quality Data Needs: Verified datasets for math, coding, and science are essential for AI model accuracy.

🚀 SYNTHETIC-1 Overview: A 1.4M-task dataset by Prime Intellect enhances AI reasoning capabilities.

🧩 Diverse Task Categories: Includes math, coding, STEM Q&A, GitHub tasks, and code output prediction.

➗ Math with Symbolic Verifiers: 777K high-school-level problems with clear verification criteria.

💻 Coding Challenges: 144K problems with unit tests in Python, JavaScript, Rust, and C++.

🧑‍🔬 STEM Questions with LLM Judges: 313K reasoning-based Q&A scored for correctness.

🔧 Real-World GitHub Tasks: 70K commit-based problems evaluating software modifications.

🔡 Code Output Prediction: 61K tasks testing AI's ability to predict complex string transformations.

🎯 AI Model Training: Structured, verifiable data improves reasoning and problem-solving.

🌍 Open & Collaborative: SYNTHETIC-1 welcomes contributions for continuous dataset expansion.....