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README.md
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- split: train
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path: data/train-*
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- split: train
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path: data/train-*
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---
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<p align="center">
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<img src="https://huggingface.co/datasets/NuclearAi/HyperThink-Max-200K/resolve/main/A_logo_for_%22HyperThink%22_is_displayed_on_a_white_ba.png" alt="HyperThink Logo" width="600"/>
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</p>
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# ๐ฎ HyperThink
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**HyperThink** is a premium, best-in-class dataset series capturing deep reasoning interactions between users and an advanced Reasoning AI system. Designed for training and evaluating next-gen language models on complex multi-step tasks, the dataset spans a wide range of prompts and guided thinking outputs.
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---
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## ๐ Dataset Tiers
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HyperThink is available in **three expertly curated versions**, allowing flexible scaling based on compute resources and training goals:
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| Version | Samples | Description |
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| ------: | ------: | ---------------------------------------------------------------------------- |
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| `mini` | 50K | Lightweight, perfect for experimentation, fine-tuning, or rapid prototyping. |
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| `midi` | 100K | Balanced mid-scale version with diversity and depth. |
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| `max` | 200K | Full-power, production-grade dataset with rich reasoning paths. |
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---
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## ๐ฆ Dataset Structure
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Each sample in the dataset contains:
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- **prompt**: The original user input .
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- **thinking**: The reasoning chain or intermediate thought process .
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- **answer**: The final output or answer following the reasoning .
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``` json
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{
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"prompt": "Why do objects float in water?",
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"thinking": "Objects float when their density is lower than the density of water...",
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"answer": "Because their average density is less than that of water."
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}
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```
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---
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## ๐ Use Cases
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- **Chain-of-thought prompting**
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- **Reasoning-based fine-tuning**
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- **Instruction-following training**
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- **Causal and deductive reasoning model evaluations**
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---
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## ๐ Citation
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If you use **HyperThink** in your work, please cite it:
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``` bibtext
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@dataset{nuclearai2025hyperthink,
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title = {HyperThink: A Reasoning-Centric Prompt-Response Dataset},
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author = {NuclearAi},
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year = {2025},
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url = {https://huggingface.co/datasets/NuclearAi/HyperThink-Max-200K}
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}
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```
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---
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**Jay Shree Ram ๐ฉ๐ฉ**
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