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Datasets for the paper "ReSplit: Improving the Structure of Jupyter Notebooks by Re-Splitting Their Cells"

<p>In this archive, you can find all the data used in the paper &quot;ReSplit: Improving the Structure of Jupyter Notebooks by Re-Splitting Their Cells&quot;.</p> <p><strong>sklearn_full_cells.csv</strong>&nbsp;is the dataset from the paper of Pimentel et al. filtered with only Data Science notebooks.<br> <strong>complete.csv</strong>&nbsp;is the dataset obtained after the full run of ReSplit on the dataset: both merging and splitting.<br> <strong>split.csv</strong>&nbsp;is the dataset obtained after running only the splitting part of our dataset.<br> <strong>merged.csv</strong>&nbsp;is the dataset obtained after running only the merging part of our dataset.<br> <strong>duplicates_id.csv</strong>&nbsp;contains the IDs of the duplicate notebooks for deduplication.<br> <strong>changes.csv</strong> contains the IDs of the datasets, as well as their length before and after running ReSplit.<br> <strong>survey.csv</strong>&nbsp;is the table with the results of the survey.</p> <p>In the dataset CSVs, each line is a cell that has a unique identifier and an identifier of the corresonding notebook.</p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
8
Engagement
0

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