Conversations from GitHub issues and Pull Requests comprise 30.9 million files totaling 54GB. Each conversation includes events like opening an issue, creating a comment, or closing the issue, along with author username, text, action, and identifiers. The dataset was created by bigcode and last updated in March 2023.
Use Cases
- Train models for automated issue triage based on conversation text and action labels.
- Analyze patterns in software development collaboration using author and event sequence data.
- Build conversational agents for developer support using the structured issue and comment text.
- Study the lifecycle of software bugs and feature requests through the sequence of opening, commenting, and closing events.
Strengths
- Contains 30.9 million files, indicating a large-scale collection.
- Total size of 54GB suggests substantial textual content.
- Includes structured conversation elements like author, text, action, and issue identifiers.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Last updated 2023-03-20 18:07:26; freshness should be verified.
- Row count is unknown, which may limit suitability assessment.
Provenance
- Source
- bigcode
- Collection Method
- Likely scraped or extracted from the GitHub platform.
- Freshness
- Last updated 2023-03-20 18:07:26.