README.md

metadata

license: cc-by-nc-4.0
language:
  - ko
  - en
task_categories:
  - text-generation
pretty_name: Korean Olympiad TDCS 3K
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*
dataset_info:
  features:
    - name: problem_ko
      dtype: large_string
    - name: solution_ko
      dtype: large_string
    - name: difficulty_level
      dtype: int64
  splits:
    - name: train
      num_bytes: 7983601
      num_examples: 3000
    - name: validation
      num_bytes: 819162
      num_examples: 300
  download_size: 3784957
  dataset_size: 8802763

Korean Olympiad TDCS 3K

A balanced Korean Olympiad mathematics reasoning dataset derived from ChuGyouk/AI-MO-NuminaMath-CoT-Ko.

Splits

• train: 3,000 rows (30 from every cluster × difficulty cell)
• validation: 300 rows (3 from every cluster × difficulty cell)

Construction

• Filtered source: olympiads
• Problem embeddings: Qwen/Qwen3-Embedding-4B, 1,024 dimensions
• Problem-type clusters: 20 spherical k-means clusters
• Difficulty proxy: per-cluster quintiles of mean normalized next-token entropy from LGAI-EXAONE/EXAONE-4.0-1.2B over up to 512 generated reasoning tokens
• Benchmark decontamination: rows with at least 95% fuzzy similarity to OlympiadBench-Math-Ko were excluded before sampling
• Random seed: 42

Important limitations

• Difficulty is model-relative uncertainty, not a human difficulty annotation.
• Most uncertainty generations reached the 512-token limit, so entropy measures the first 512 reasoning tokens rather than final-answer confidence.
• The upstream solutions are machine-generated translations/reasoning traces and may contain mathematical errors.
• Fuzzy matching reduces benchmark leakage but cannot guarantee complete decontamination.

License

This derivative follows the upstream CC BY-NC 4.0 license.