GitHub Pull Request Data from 24 Repositories

GitHub pull request data collected from 24 software repositories. The dataset likely contains information related to code review and collaboration processes on the platform. It is hosted on Kaggle, but specific details about its creation, size, and structure are not provided in the metadata.

Use Cases

• Analyze pull request lifecycle metrics like merge times and comment volume (inferred from domain, verify after download)
• Train models to predict pull request outcomes (e.g., merge, close) (inferred from domain, verify after download)
• Study collaboration networks and contributor activity within projects (inferred from domain, verify after download)

Strengths

• Published on Kaggle, a major platform for sharing datasets.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file formats, and license are unknown, which may limit suitability assessment.

Provenance

Source

Kaggle

Collection Method

Data scraped or extracted from GitHub, based on the title.

Time Range

null

Freshness

Last update date is unknown; freshness unverified.

Geography

null