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README.md

@@ -1,43 +1,33 @@
 ---
-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
-  splits:
-  - name: train
-    num_bytes: 47654400
-    num_examples: 101878
-  download_size: 37007740
-  dataset_size: 47654400
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+language:
+- ko
+license: mit
+task_categories:
+- text-generation
+tags:
+- math
+- korean
+- sft
+- difficulty
+pretty_name: Korean DeepMath with Difficulty
 ---
+
+# 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.