| # CI-REPAIR-BENCH |
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|
| ## Overview |
| **CI-REPAIR-BENCH** is a benchmark dataset for research on Continuous Integration (CI) failures and automated repair in Python repositories. |
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| The dataset contains **567 CI failure instances** collected from **105 real-world GitHub repositories**, all written in **Python**. |
| Each instance captures a CI workflow failure, its logs, the corresponding code diff, and repository-level metadata. |
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| ## Dataset Statistics |
| - Programming language: Python |
| - Number of repositories: 105 |
| - Number of CI instances: 567 |
| - Domain: Continuous Integration |
| - Format: Parquet |
| - Size category: 10M < n < 100M |
| - Metadata language: English |
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| --- |
|
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| ## Data Description |
| Each row in the dataset represents a CI failure scenario extracted from a GitHub repository. |
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| ### Main fields |
| - `language`: Programming language of the repository |
| - `id`: Unique identifier of the CI instance |
| - `repo_owner`: GitHub repository owner |
| - `repo_name`: GitHub repository name |
| - `head_branch`: Branch associated with the CI run |
| - `workflow_name`: Name of the CI workflow |
| - `workflow_filename`: CI workflow file name |
| - `workflow_path`: Path to the workflow file |
| - `sha_fail`: Commit SHA where the CI failed |
| - `sha_success`: Commit SHA where the CI succeeded |
| - `workflow`: Full CI workflow configuration |
| - `logs`: CI execution logs capturing failure details |
| - `diff`: Code diff between failing and fixed versions |
| - `changed_files`: List of files modified in the fix |
| - `commit_link`: Link to the failing commit |
| - `error_type`: Categorized CI error type |
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| ### Example error types |
| - Code Linting |
| - Code Formatting |
| - Dependency Issues |
| - Package Installation Error |
| - Test Failure |
| - Runtime Error |
| - Syntax Error |
| - Configuration Error |
| - Environment Error |
| - Assertion Error |
| - Documentation / Docstring Error |
| - Type Checking Error |
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| --- |
|
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| ## Intended Use |
| This dataset can be used for: |
| - CI Log Analysis |
| - Automated Program Repair |
| - Learning from CI logs and diffs |
| - Benchmarking CI repair tools |
| - Empirical software engineering research |
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| --- |
|
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| ## How to Use the Dataset |
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| ### Download from Hugging Face Hub |
| ```python |
| from huggingface_hub import hf_hub_download |
| |
| dataset_path = hf_hub_download( |
| repo_id="ci-benchmark-user/ci-repair-bench", |
| filename="ci_repair_dataset.parquet", |
| repo_type="dataset", |
| token=config.get("HUGGINGFACE_TOKEN") |
| ) |
| |
