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  The model was fine-tuned on the [Jupyter Agent Dataset](https://huggingface.co/datasets/data-agents/jupyter-agent-dataset), which contains:
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- - **51,389 synthetic notebooks** (~2B tokens)
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  - **Dataset-grounded QA pairs** from real Kaggle notebooks
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  - **Executable reasoning traces** with intermediate computations
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  - **High-quality educational content** filtered and scored by LLMs
 
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  The model was fine-tuned on the [Jupyter Agent Dataset](https://huggingface.co/datasets/data-agents/jupyter-agent-dataset), which contains:
161
 
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+ - **51,389 synthetic notebooks** (~0.2B tokens, total 1B tokens)
163
  - **Dataset-grounded QA pairs** from real Kaggle notebooks
164
  - **Executable reasoning traces** with intermediate computations
165
  - **High-quality educational content** filtered and scored by LLMs