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🚀 Excited to unveil the Augmented ARC-Challenge Dataset with Chain-of-Thought Reasoning! 🧠✨
📚 Created by enhancing the ARC dataset with AI-generated reasoning from Google's Gemini Pro, this resource aims to improve question answering models' ability to tackle complex science queries.
🔍 Features:
- 1068 training examples
- Detailed reasoning steps for nuanced understanding
- Questions spanning physics, chemistry, biology, & more!
🌟 Ideal for benchmarking QA models, enhancing model interpretability, and studying in-context examples.
🔗 Dive in and help your models learn the art of reasoning!
🔎 Explore more: Locutusque/arc-cot
📚 Created by enhancing the ARC dataset with AI-generated reasoning from Google's Gemini Pro, this resource aims to improve question answering models' ability to tackle complex science queries.
🔍 Features:
- 1068 training examples
- Detailed reasoning steps for nuanced understanding
- Questions spanning physics, chemistry, biology, & more!
🌟 Ideal for benchmarking QA models, enhancing model interpretability, and studying in-context examples.
🔗 Dive in and help your models learn the art of reasoning!
🔎 Explore more: Locutusque/arc-cot