Omkar2118/datasets huggingface dataset:
Study data

# Challenges in Migrating Imperative Deep Learning Programs to Graph Execution: An Empirical Study

## File Descriptions

File | Description
--- | ---
`commit_categorizations.csv` | Categorizations for the commits in our dataset.
`commits.csv` | Information for the commits in our dataset
`datasets.csv` | Contains the names and descriptions of our datasets.
`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 categories and their respective descriptions.
`problem_causes.csv` | Problem causes and their respective descriptions.
`problem_fixes.csv` | Problem fixes and their respective descriptions.
`problem_symptoms.csv` | Problem symptoms and their respective descriptions.
`studied_subjects_commits.csv` | Project data for commits.
`studied_subjects_issues.csv` | Project data for issues.

## Column Descriptions

### `commit_categorizations.csv`

Column | 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.csv`

Column | 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.csv`

Column | Description
--- | ---
`GH_id` | GitHub issue unique identifier.

Introducing paper: Challenges in Migrating Imperative Deep Learning Programs to Graph Execution: An Empirical Study