Datasets:

TestCase-Eval
/

submission_all

dataset_info:
  features:
    - name: id
      dtype: int64
    - name: language
      dtype: string
    - name: verdict
      dtype: string
    - name: source
      dtype: string
    - name: problem_id
      dtype: string
    - name: type
      dtype: string
  splits:
    - name: train
      num_bytes: 250483956
      num_examples: 121386
  download_size: 87810628
  dataset_size: 250483956
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
license: mit
task_categories:
  - text-generation
  - code-generation

This dataset is used in the paper Can LLMs Generate High-Quality Test Cases for Algorithm Problems? TestCase-Eval: A Systematic Evaluation of Fault Coverage and Exposure.

Code: https://github.com/FlowRays/TestCase-Eval