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