README.md

metadata

tags:
  - code
  - go
  - code-style-analysis
  - multi-label-classification
license: mit
language:
  - go
source_datasets:
  - bigcode/the-stack-v2
task_categories:
  - text-classification
task_ids:
  - multi-label-classification
dataset_info:
  features:
    - name: code
      dtype: string
      description: A snippet of Go source code.
    - name: labels
      dtype:
        sequence:
          class_label:
            names:
              - assignOp
              - builtinShadow
              - captLocal
              - commentFormatting
              - elseif
              - ifElseChain
              - paramTypeCombine
              - singleCaseSwitch
      description: >
        One or more style-rule violations detected by the go‑critic linter's
        "style" checker group.
  splits:
    - name: train
      num_examples: 1536
    - name: validation
      num_examples: 222
    - name: test
      num_examples: 448
  dataset_size: 2206
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*
      - split: test
        path: data/test-*

go-critic-style

A multi‑label dataset of Go code snippets annotated with style violations from the go‑critic linter's "style" group.
Curated from the bigcode/the‑stack‑v2‑dedup "Go" split, filtered to examples of manageable length.

Label Set

List of style violations covered by this dataset:

ID	Label	Description
0	assignOp	Could use +=, -=, *=, etc.
1	builtinShadow	Shadows a predeclared identifier.
2	captLocal	Local variable name begins with an uppercase letter.
3	commentFormatting	Comment is non‑idiomatic or badly formatted.
4	elseif	Nested if statement that can be replaced with else-if.
5	ifElseChain	Repeated if-else statements can be replaced with switch.
6	paramTypeCombine	Function parameter types that can be combined (e.g. x, y int).
7	singleCaseSwitch	Statement switch that could be better written as if.

Splits

The dataset is partitioned into training, validation, and test subsets in a 70/10/20 ratio:

Split	# Examples	Approx. %
train	1536	70%
validation	222	10%
test	448	20%