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@@ -36,4 +36,38 @@ configs:
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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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+
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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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+
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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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+
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+ ```Python
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+ import nbformat
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+ from datasets import load_dataset
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+
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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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+
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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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+ ```