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analysis/README.md

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+# 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.
+ 
+![dataset_errors_overview.svg](docs%2Fstatic%2Fdataset_errors_overview.svg)
+
+# 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.
+
+```Python
+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)
+```