Upload README.md with huggingface_hub

README.md

@@ -40,17 +40,17 @@ Each row captures a moment where a human code reviewer left an inline comment on
 
 | Column | Type | Description |
 |--------|------|-------------|
-| `before_chunk` | string | ~50 lines of code around the comment, before the fix |
+| `before_code` | string | ~50 lines of code around the comment, before the fix |
 | `reviewer_comment` | string | The inline review comment text |
-| `after_chunk` | string | ~50 lines of code around the comment, after the fix |
-| `diff_hunk` | string | The PR diff hunk where the comment was placed |
+| `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 |
 | `language` | string | Programming language |
 | `quality_score` | float | Comment quality score (0.0-1.0) |
 | `comment_length` | int | Character count of reviewer comment |
-| `before_line_count` | int | Lines in before chunk |
-| `after_line_count` | int | Lines in after chunk |
+| `before_lines` | int | Line count of before code |
+| `after_lines` | int | Line count of after code |
 | `pr_title` | string | Pull request title |
 | `pr_number` | int | PR number |
 | `repo_name` | string | Full repo name (owner/repo) |
@@ -70,8 +70,8 @@ ds = load_dataset("ronantakizawa/github-codereview")
 example = ds["train"][0]
 print(f"Review comment: {example['reviewer_comment']}")
 print(f"Language: {example['language']}")
-print(f"Before:\n{example['before_chunk'][:200]}")
-print(f"After:\n{example['after_chunk'][:200]}")
+print(f"Before:\n{example['before_code'][:200]}")
+print(f"After:\n{example['after_code'][:200]}")
 ```
 
 ### Filter by language