Dataset: Why Are AI-Generated Pull Requests Discarded? A Preliminar Analysis Using the AIDev Dataset

dataset.jsonThe primary dataset containing complete metadata for all 4,314 Pull Requests analyzed in this study.Root object containing two main properties:Key Fields per PR Object:id (Integer): Unique GitHub PR identifier.number (Integer): PR number within the repository.title (String): PR title/heading.body (String): PR description and detailed content.agent (String): Tool/agent that created the PR (e.g., "Claude_Code", "Devin", "GitHub Copilot").user_id (Integer): GitHub user ID of the PR author.user (String): GitHub username of the PR author.state (String): PR status (always "closed" in this dataset).created_at (ISO 8601 Datetime): PR creation timestamp.closed_at (ISO 8601 Datetime): PR closure timestamp.merged_at (null): Merge timestamp (null = not merged).repo_id (Float): GitHub repository ID.repo_url (String): API URL endpoint of the repository.html_url (String): Web URL of the PR on GitHub.comments (Array) Array of comment objects from PR discussion. Comments Array Structure: id (Integer): Unique comment ID.pr_id (Integer): Parent PR ID for linking.user (String): Comment author username.user_id (Integer): Comment author GitHub user ID.user_type (String): User type identifier ("User", "Bot", "Organization").created_at (ISO 8601 Datetime): Comment creation timestamp.body (String): Full comment text content. summarize_gemini.jsonAI-generated semantic summaries of PR closure reasons using Google's Gemini LLM. This file maps each PR ID to a structured analysis explaining why the PR was closed without merging.Structure:pr_id (Integer): Unique GitHub PR identifier (matches dataset.json).html_url (String):Web URL of the PR on GitHub.original_comment (Array[String]): Original PR comment threads (context for analysis).analysis (String): AI-generated summary of closure reason. cluster_bert_generated.jsonInitial unsupervised clustering results generated by combining BERT embeddings and HDBSCAN algorithm. This file represents the raw algorithmic output before manual curation and consolidation.Root Level Metadata:source_run  (Integer): Identifier for the clustering run.number_of_clusters (Integer): Total clusters generated by HDBSCAN.total_analyses (Integer): Total PR analysis texts processed.clustered_analyses (Integer): Texts successfully assigned to clusters.outliers_noise (Integer): Texts classified as outliers/noise.clusters (Array): Array of cluster objects with detailed content.Cluster Object Structure:cluster_id (String): Numeric identifier (0-169) or "OUTLIERS/NOISE".items (Integer): Number of PRs assigned to this cluster.keywords (Array[String]): Top 5-10 keywords extracted from cluster texts.texts (Array[String]): Representative analysis text samples from cluster. clusters_final.jsonManually curated and consolidated clustering results derived from cluster_bert_generated.json. Domain experts reviewed the 170 initial clusters and merged semantically related patterns into 20 comprehensive categories representing common PR closure reasons.Root Level Metadata:source_run  (Integer): Identifier for the clustering run.outliers_removed (Boolean): Outliers explicitly handled in consolidation.categories (Array): Consolidated category objects.Category Object Structure:new_cluster_id (Integer): Final category ID.label (String): Human-readable category name.description (String): Detailed description of PR closure reason pattern.original_clusters_ids (Array[Integer]): IDs of original clusters merged into this category.items (Integer): Total PRs assigned to this category.text (Array[String]): Representative closure reason texts from PRs.metadata (Object): Frequency distribution of unique analysis texts.