content.raw: 🚀 Excited to unveil the Augmented ARC-Challenge Dataset with Chain-of-Thought Reasoning! 🧠✨
content.type: text
content.value: 🚀 Excited to unveil the Augmented ARC-Challenge Dataset with Chain-of-Thought Reasoning! 🧠✨
content.type: new_line
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content.raw: 📚 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. 
content.type: text
content.value: 📚 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. 
content.type: new_line
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content.raw: 🔍 Features:
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content.value: 🔍 Features:
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content.raw: - 1068 training examples
content.type: text
content.value: - 1068 training examples
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content.raw: - Detailed reasoning steps for nuanced understanding
content.type: text
content.value: - Detailed reasoning steps for nuanced understanding
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content.raw: - Questions spanning physics, chemistry, biology, & more!
content.type: text
content.value: - Questions spanning physics, chemistry, biology, & more!
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content.raw: 🌟 Ideal for benchmarking QA models, enhancing model interpretability, and studying in-context examples.
content.type: text
content.value: 🌟 Ideal for benchmarking QA models, enhancing model interpretability, and studying in-context examples.
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content.type: new_line
content.raw: 🔗 Dive in and help your models learn the art of reasoning! 
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content.value: 🔗 Dive in and help your models learn the art of reasoning! 
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content.raw: 🔎 Explore more: 
content.type: text
content.value: 🔎 Explore more: 
content.raw: https://huggingface.co/datasets/Locutusque/arc-cot
content.id: Locutusque/arc-cot
content.type: dataset
content.type: resource
content.url: https://huggingface.co/datasets/Locutusque/arc-cot
content.type: new_line
rawContent: 🚀 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: https://huggingface.co/datasets/Locutusque/arc-cot
  
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