---
dataset_info:
- config_name: clone-detection
  features:
  - name: label
    dtype:
      class_label:
        names:
          '0': '0'
          '1': '1'
  - name: source_code
    dtype: string
  splits:
  - name: train
    num_bytes: 2118123393
    num_examples: 901028
  - name: validation
    num_bytes: 2009829980
    num_examples: 830832
  - name: test
    num_bytes: 900449709
    num_examples: 415416
  download_size: 1986648636
  dataset_size: 5028403082
- config_name: complexity-prediction
  features:
  - name: source_code
    dtype: string
  - name: label
    dtype:
      class_label:
        names:
          '0': constant
          '1': cubic
          '2': linear
          '3': logn
          '4': nlogn
          '5': np
          '6': quadratic
  splits:
  - name: train
    num_bytes: 10643844.587115342
    num_examples: 3800
  - name: validation
    num_bytes: 560202.3466902812
    num_examples: 200
  - name: test
    num_bytes: 1448123.066194377
    num_examples: 517
  download_size: 4536582
  dataset_size: 12652170.0
- config_name: defect-detection
  features:
  - name: label
    dtype:
      class_label:
        names:
          '0': '0'
          '1': '1'
  - name: source_code
    dtype: string
  splits:
  - name: train
    num_bytes: 44656083
    num_examples: 21854
  - name: validation
    num_bytes: 5449113
    num_examples: 2732
  - name: test
    num_bytes: 5513310
    num_examples: 2732
  download_size: 21139308
  dataset_size: 55618506
configs:
- config_name: clone-detection
  data_files:
  - split: train
    path: clone-detection/train-*
  - split: validation
    path: clone-detection/validation-*
  - split: test
    path: clone-detection/test-*
- config_name: complexity-prediction
  data_files:
  - split: train
    path: complexity-prediction/train-*
  - split: validation
    path: complexity-prediction/validation-*
  - split: test
    path: complexity-prediction/test-*
- config_name: defect-detection
  data_files:
  - split: train
    path: defect-detection/train-*
  - split: validation
    path: defect-detection/validation-*
  - split: test
    path: defect-detection/test-*
---

This dataset collates three class-balanced code classification datasets in the wild, where splits have been stratified by label. The sources are:

1. CodeXGLUE defect detection (sourced from: [semeru/code-code-DefectDetection](https://huggingface.co/datasets/semeru/code-code-DefectDetection))
2. BigCloneBench clone detection (sourced from: [nchen909/bigclonebench-processed](https://huggingface.co/datasets/nchen909/bigclonebench-processed))
3. CodeComplex code runtime complexity prediction (sourced from: [codeparrot/codecomplex](https://huggingface.co/datasets/codeparrot/codecomplex))