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---
dataset_info:
  features:
  - name: problem_id
    dtype: string
  - name: url
    dtype: string
  - name: title
    dtype: string
  - name: rating
    dtype: int64
  - name: tags
    sequence: string
  - name: div
    dtype: string
  - name: time_limit_ms
    dtype: int64
  - name: memory_limit_mb
    dtype: int64
  - name: description
    dtype: string
  - name: input
    dtype: string
  - name: output
    dtype: string
  - name: examples
    sequence:
      sequence: string
  - name: note
    dtype: string
  - name: prompt
    dtype: string
  splits:
  - name: train
    num_bytes: 2307177
    num_examples: 500
  download_size: 974399
  dataset_size: 2307177
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
task_categories:
- code-generation
---

This dataset is introduced in the paper [Can LLMs Generate High-Quality Test Cases for Algorithm Problems? TestCase-Eval: A Systematic Evaluation of Fault Coverage and Exposure](https://huggingface.co/papers/2506.12278).

GitHub repository: https://github.com/FlowRays/TestCase-Eval