README.md

metadata

language:
  - ko
license: mit
task_categories:
  - text-generation
tags:
  - math
  - korean
  - sft
  - difficulty
pretty_name: Korean DeepMath with Difficulty
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
dataset_info:
  features:
    - name: data_source
      dtype: string
    - name: prompt
      list:
        - name: content
          dtype: string
        - name: role
          dtype: string
    - name: ability
      dtype: string
    - name: reward_model
      struct:
        - name: ground_truth
          dtype: string
        - name: style
          dtype: string
    - name: extra_info
      struct:
        - name: index
          dtype: int64
        - name: split
          dtype: string
    - name: original_index
      dtype: int64
    - name: difficulty
      dtype: float64
    - name: topic
      dtype: string
    - name: difficulty_level
      dtype: string
  splits:
    - name: train
      num_bytes: 48547637
      num_examples: 101874
  download_size: 37030977
  dataset_size: 48547637

Korean DeepMath with Difficulty

This dataset enriches ChuGyouk/Korean-DeepMath with difficulty and topic metadata from zwhe99/DeepMath-103K.

Join procedure

Rows are matched using Korean-DeepMath[extra_info][index] -> original DeepMath row index.

Added fields

• original_index
• difficulty
• topic

Intended use

Prepared for controlled Korean mathematical reasoning SFT experiments, including difficulty-aware sampling such as TDCS.

No Easy / Medium / Hard labels are added here. Bucket boundaries should be selected after analyzing the difficulty distribution.