Update README.md

README.md

@@ -1,34 +1,3 @@
-# Stack-Smol-Docstrings
-
-This dataset contains Python functions extracted from The Stack (small) dataset, 
-selected for their high-quality docstrings and implementations. Each sample includes 
-the function's docstring, implementation, and a masked version of the code where the 
-function is replaced with a comment.
-
-The dataset is designed for code completion tasks where a model needs to restore a 
-function that has been replaced with a comment. The model is provided with:
-1. The full file context with the function replaced by a comment
-2. The docstring of the function
-3. The function name
-
-The model's task is to generate code that replaces the comment with a proper implementation
-of the function based on the docstring and surrounding context.
-
-## Dataset Structure
-Each sample contains:
-- `function_name`: Name of the function
-- `docstring`: The function's docstring
-- `masked_code`: The full file with the function replaced by a comment
-- `implementation`: The original function implementation
-- `start_line`: The starting line number of the function in the original file
-- `end_line`: The ending line number of the function in the original file
-- `file_content`: The full original file content
-
-## Quality Filtering
-Functions are filtered based on:
-- Docstring quality (length, structure, descriptiveness)
-- Implementation quality (no SQL strings, reasonable number of variables, sufficient complexity)
-
 ---
 dataset_info:
   features:
@@ -60,3 +29,33 @@ configs:
 ---
 
 
+# Stack-Smol-Docstrings
+
+This dataset contains Python functions extracted from The Stack (small) dataset, 
+selected for their high-quality docstrings and implementations. Each sample includes 
+the function's docstring, implementation, and a masked version of the code where the 
+function is replaced with a comment.
+
+The dataset is designed for code completion tasks where a model needs to restore a 
+function that has been replaced with a comment. The model is provided with:
+1. The full file context with the function replaced by a comment
+2. The docstring of the function
+3. The function name
+
+The model's task is to generate code that replaces the comment with a proper implementation
+of the function based on the docstring and surrounding context.
+
+## Dataset Structure
+Each sample contains:
+- `function_name`: Name of the function
+- `docstring`: The function's docstring
+- `masked_code`: The full file with the function replaced by a comment
+- `implementation`: The original function implementation
+- `start_line`: The starting line number of the function in the original file
+- `end_line`: The ending line number of the function in the original file
+- `file_content`: The full original file content
+
+## Quality Filtering
+Functions are filtered based on:
+- Docstring quality (length, structure, descriptiveness)
+- Implementation quality (no SQL strings, reasonable number of variables, sufficient complexity)