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metadata
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
  - 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)
  2. BigCloneBench clone detection (sourced from: nchen909/bigclonebench-processed)
  3. CodeComplex code runtime complexity prediction (sourced from: codeparrot/codecomplex)