Releasing the Jupyter Agent Dataset! 🚀
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Releasing the Jupyter Agent Dataset! 🚀
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Built from 7 TB of real Kaggle datasets + 20k notebooks, creating real code exec traces using Qwen3-Coder and E2B.
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Built from 7 TB of real Kaggle datasets + 20k notebooks, creating real code exec traces using Qwen3-Coder and E2B.
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Training on this data dramatically improves the ability to execute code and analyze data.
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Training on this data dramatically improves the ability to execute code and analyze data.
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We (
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We (
@baptistecolle
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baptistecolle
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@hannayukhymenko
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hannayukhymenko
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@lvwerra
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lvwerra
) have created a novel synthetic data generation pipeline with efficient scaffolding, which gives a big performance boost after training your coding agent🔥With the help of real Kaggle notebooks and datasets we generate synthetic notebooks which aim to analyze datasets and answer factual questions about them more efficiently. We simulate a real code execution environment by prompting LLMs or with the help of E2B sandboxes. We have built a dataset of 50k+ high-quality LLM-generated notebooks which can help your agent become better at performing data analysis and question answering.
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) have created a novel synthetic data generation pipeline with efficient scaffolding, which gives a big performance boost after training your coding agent🔥With the help of real Kaggle notebooks and datasets we generate synthetic notebooks which aim to analyze datasets and answer factual questions about them more efficiently. We simulate a real code execution environment by prompting LLMs or with the help of E2B sandboxes. We have built a dataset of 50k+ high-quality LLM-generated notebooks which can help your agent become better at performing data analysis and question answering.
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Link: 
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Link: 
https://huggingface.co/datasets/data-agents/jupyter-agent-dataset
https://huggingface.co/datasets/data-agents/jupyter-agent-dataset
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Releasing the Jupyter Agent Dataset! 🚀

Built from 7 TB of real Kaggle datasets + 20k notebooks, creating real code exec traces using Qwen3-Coder and E2B.
Training on this data dramatically improves the ability to execute code and analyze data.

We (@baptistecolle @hannayukhymenko @lvwerra) have created a novel synthetic data generation pipeline with efficient scaffolding, which gives a big performance boost after training your coding agent🔥With the help of real Kaggle notebooks and datasets we generate synthetic notebooks which aim to analyze datasets and answer factual questions about them more efficiently. We simulate a real code execution environment by prompting LLMs or with the help of E2B sandboxes. We have built a dataset of 50k+ high-quality LLM-generated notebooks which can help your agent become better at performing data analysis and question answering.

Link: https://huggingface.co/datasets/data-agents/jupyter-agent-dataset
👍
AdamLedoor John6666 donhuvy Makar7 wsuff Vivasilev111
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donhuvy
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Do Nhu
donhuvy
user
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Hanna Yukhymenko
hannayukhymenko
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