README.md

metadata

dataset_info:
  features:
    - name: id
      dtype: int64
    - name: language
      dtype: string
    - name: verdict
      dtype: string
    - name: problem_id
      dtype: string
  splits:
    - name: train
      num_bytes: 705630705
      num_examples: 13065846
  download_size: 101643454
  dataset_size: 705630705
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
task_categories:
  - text-generation
tags:
  - code-generation
  - benchmark
  - c++
  - python

Dataset for Can LLMs Generate High-Quality Test Cases for Algorithm Problems? TestCase-Eval: A Systematic Evaluation of Fault Coverage and Exposure

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