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README.md

@@ -44,12 +44,19 @@ This provides a natural signal for training models to:
 
 | Column | Type | Description |
 |--------|------|-------------|
+| `pr_title` | string | Pull request title |
+| `pr_number` | int | PR number |
+| `repo_name` | string | Full repo name (owner/repo) |
+| `repo_stars` | int | GitHub stars |
+| `repo_language` | string | Primary repo language |
+| `author_username` | string | PR author's GitHub username |
+| `reviewer_username` | string | Reviewer's GitHub username |
 | `before_code` | string | ~50 lines of code around the comment, before the fix |
 | `reviewer_comment` | string | The inline review comment text (or "No issues found." for negatives) |
 | `after_code` | string | ~50 lines of code around the comment, after the fix |
 | `diff_context` | string | The PR diff hunk where the comment was placed |
 | `file_path` | string | File path within the repo |
-| `comment_line` | int | Line number where the comment was placed (0 for negatives) |
+| `comment_line` | int | Line number within the code chunk (0 for negatives) |
 | `language` | string | Programming language |
 | `quality_score` | float | Comment quality score (0.0-1.0; 1.0 for negatives) |
 | `comment_type` | string | Category: suggestion, question, nitpick, bug, refactor, style, security, performance, none |
@@ -57,13 +64,6 @@ This provides a natural signal for training models to:
 | `before_lines` | int | Line count of before code |
 | `after_lines` | int | Line count of after code |
 | `is_negative` | bool | True if this is a negative example (no reviewer comment) |
-| `pr_title` | string | Pull request title |
-| `pr_number` | int | PR number |
-| `repo_name` | string | Full repo name (owner/repo) |
-| `repo_stars` | int | GitHub stars |
-| `repo_language` | string | Primary repo language |
-| `reviewer_username` | string | Reviewer's GitHub username |
-| `author_username` | string | PR author's GitHub username |
 
 ## Usage