Datasets:
konstantgr
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README.md
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path: data/train-*
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tags:
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- jupyter notebook
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-
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path: data/train-*
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tags:
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- jupyter notebook
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size_categories:
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- 1K<n<10K
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---
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# Dataset Summary
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The presented dataset contains `10000` Jupyter notebooks,
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each of which contains at least one error. In addition to the notebook content,
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the dataset also provides information about the repository where the notebook is stored.
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This information can help restore the environment if needed.
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# Getting Started
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This dataset is organized such that it can be naively loaded via the Hugging Face datasets library. We recommend using streaming due to the large size of the files.
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```Python
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import nbformat
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from datasets import load_dataset
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dataset = load_dataset(
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"JetBrains-Research/jupyter-errors-dataset", split="test", streaming=True
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)
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row = next(iter(dataset))
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notebook = nbformat.reads(row["content"], as_version=nbformat.NO_CONVERT)
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```
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# Citation
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```
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@misc{JupyterErrorsDataset,
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title = {Dataset of Errors in Jupyter Notebooks},
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author = {Konstantin Grotov and Sergey Titov and Yaroslav Zharov and Timofey Bryksin},
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year = {2023},
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publisher = {HuggingFace},
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journal = {HuggingFace repository},
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howpublished = {\url{https://huggingface.co/datasets/JetBrains-Research/jupyter-errors-dataset}},
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}
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```
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