File | Description
--- | ---
commit_categorizations.csv | Categorizations for the commits in our dataset.
commits.csv | Information for the commits in our dataset.
datasets.csv | Dataset's name, study information and description.
issue_categorizations.csv | Categorizations for the chosen issues from our dataset.
issues.csv | Information for the issues in our dataset.
pipeline_stages.csv | DL pipeline stages and their respective descriptions.
problem_categories.csv | Problem category names with their respective descriptions.
problem_causes.csv | Problem cause category names with their respective descriptions.
problem_fixes.csv | Problem fixes category names with their respective descriptions.
problem_symptoms.csv | Problem symptoms category names with their respective descriptions.
studied_subjects_commits.csv | Project data for commits.
studied_subjects_issues.csv | Project data for issues.
studies.csv | Contains the different studies with their respective descriptions.
commit_categorizations.csvColumn | Description
--- | ---
tf.function related fix? | TRUE when a bug fix related to tf.function was found and FALSE otherwise. If FALSE, subsequent column values will be blank.
stage | DL pipeline stage where the problem fix was found.
issue_categorizations.csvColumn | Description
--- | ---
tf.function related problem? | TRUE when a bug related to tf.function was found and FALSE otherwise. If FALSE, subsequent column values will be blank.
stage | DL pipeline stage where the problem was found.
GH_id | GitHub issue unique identifier
issues.csvColumn | Description
--- | ---
GH_id | GitHub issue unique identifier
datasets.csvColumn | Description
--- | ---
study | Study for which the dataset was used.
description | Describes the parameters/source from where the information was obtained.
studies.csvColumn | Description
--- | ---
study | Name of the study
description | Describes the what was studied.