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 "ReSplit: Improving the Structure of Jupyter Notebooks by Re-Splitting Their Cells".</p> <p><strong>sklearn_full_cells.csv</strong> is the dataset from the paper of Pimentel et al. filtered with only Data Science notebooks.<br> <strong>complete.csv</strong> is the dataset obtained after the full run of ReSplit on the dataset: both merging and splitting.<br> <strong>split.csv</strong> is the dataset obtained after running only the splitting part of our dataset.<br> <strong>merged.csv</strong> is the dataset obtained after running only the merging part of our dataset.<br> <strong>duplicates_id.csv</strong> 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> 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