README.md

metadata

license: cc-by-nd-4.0
dataset_info:
  features:
    - name: prob_zh
      dtype: string
    - name: prob_en
      dtype: string
    - name: prob_level
      dtype: string
    - name: algorithm_tag_zh
      dtype: string
    - name: algorithm_tag_en
      dtype: string
    - name: canonical_solution
      dtype: string
    - name: test_case
      list:
        - name: input
          dtype: string
        - name: output
          dtype: string
    - name: pseudo_code
      dtype: string
    - name: buggy_code
      dtype: string
    - name: corrupted_code
      dtype: string
    - name: id
      dtype: string
  splits:
    - name: test
      num_bytes: 2383665753
      num_examples: 100
  download_size: 1579799948
  dataset_size: 2383665753
configs:
  - config_name: default
    data_files:
      - split: test
        path: data/test-*

OIBench Dataset

Dataset Overview

The OIBench Dataset contains algorithm problem statements, solutions, and associated metadata such as test cases, pseudo code, and difficulty levels. The dataset has been processed and stored in Parquet format for efficient access and analysis.

We provide complete information for the first 100 questions in the data (use dataset = load_dataset("Milo0007/OIBench") to access, as the test cases are large and the default Dataset Viewer on Hugging Face may not fully display the information). After the submission is accepted, we will provide the complete information for all 250 questions.

For the remaining 150 questions, currently we provide the problem descriptions in both Chinese and English in problem.parquet.

We provide the competition records of human participants in human_participants_data.parquet.

Dataset Structure

The dataset includes the following fields:

• id: Problem ID (e.g., 000, 001, ..., 249)
• prob_zh: Problem description in Chinese
• prob_en: Problem description in English
• algorithm_tag_zh: Algorithm tags in Chinese
• algorithm_tag_en: Algorithm tags in English
• level: Problem difficulty
• canonical_solution: Official solution code in C++
• test_case: List of test cases, each containing input and output.
  • Each test case is structured as a list of objects containing:
    • input: The input for the test case
    • output: The output for the test case
• pseudo_code: Pseudo code for the algorithm
• buggy_code: Buggy code for the problem
• corrupted_code: Incomplete code for the problem

Usage

You can load the dataset in your Python code using the following example:

from datasets import load_dataset

dataset = load_dataset("Milo0007/OIBench")
print(dataset)