Datasets:
File size: 1,554 Bytes
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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.
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