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---
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](https://huggingface.co/papers/2506.12278)
Github: https://github.com/FlowRays/TestCase-Eval |