Dataset Summary

The presented dataset contains 10000 Jupyter notebooks, each of which contains at least one error. In addition to the notebook content, the dataset also provides information about the repository where the notebook is stored. This information can help restore the environment if needed.

Getting Started

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.

import nbformat
from datasets import load_dataset

dataset = load_dataset(
    "JetBrains-Research/jupyter-errors-dataset", split="test", streaming=True
)
row = next(iter(dataset))
notebook = nbformat.reads(row["content"], as_version=nbformat.NO_CONVERT)