Datasets:

Modalities:
Tabular
Text
Formats:
parquet
Libraries:
Datasets
pandas
Bobbi commited on
Commit
a7e153d
·
verified ·
1 Parent(s): ab74fae

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +33 -0
README.md CHANGED
@@ -1,3 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
2
  dataset_info:
3
  features:
@@ -27,3 +58,5 @@ configs:
27
  - split: train
28
  path: data/train-*
29
  ---
 
 
 
1
+ # Stack-Smol-Docstrings
2
+
3
+ This dataset contains Python functions extracted from The Stack (small) dataset,
4
+ selected for their high-quality docstrings and implementations. Each sample includes
5
+ the function's docstring, implementation, and a masked version of the code where the
6
+ function is replaced with a comment.
7
+
8
+ The dataset is designed for code completion tasks where a model needs to restore a
9
+ function that has been replaced with a comment. The model is provided with:
10
+ 1. The full file context with the function replaced by a comment
11
+ 2. The docstring of the function
12
+ 3. The function name
13
+
14
+ The model's task is to generate code that replaces the comment with a proper implementation
15
+ of the function based on the docstring and surrounding context.
16
+
17
+ ## Dataset Structure
18
+ Each sample contains:
19
+ - `function_name`: Name of the function
20
+ - `docstring`: The function's docstring
21
+ - `masked_code`: The full file with the function replaced by a comment
22
+ - `implementation`: The original function implementation
23
+ - `start_line`: The starting line number of the function in the original file
24
+ - `end_line`: The ending line number of the function in the original file
25
+ - `file_content`: The full original file content
26
+
27
+ ## Quality Filtering
28
+ Functions are filtered based on:
29
+ - Docstring quality (length, structure, descriptiveness)
30
+ - Implementation quality (no SQL strings, reasonable number of variables, sufficient complexity)
31
+
32
  ---
33
  dataset_info:
34
  features:
 
58
  - split: train
59
  path: data/train-*
60
  ---
61
+
62
+