Update README.md

README.md

@@ -35,6 +35,17 @@ The model can be used to classify financial sentences (in Korean) into one of th
 - **Factual** (사실형)
 - **Conversational** (대화형)
 
+### Training Data
+
+- **Dataset Name:** 문장 유형(추론, 예측 등) 판단 데이터  
+- **출처:** [AIHub 링크](https://www.aihub.or.kr/aihubdata/data/view.do?pageIndex=1&currMenu=115&topMenu=100&srchOptnCnd=OPTNCND001&searchKeyword=예측형&srchDetailCnd=DETAILCND001&srchOrder=ORDER001&srchPagePer=20&srchDataRealmCode=REALM002&aihubDataSe=data&dataSetSn=71486)
+
+이 데이터는 한국어 금융 문장을 다음 네 가지 유형으로 분류합니다:
+- `예측형 (Predictive)`
+- `추론형 (Inferential)`
+- `사실형 (Factual)`
+- `대화형 (Conversational)`
+
 ### Out-of-Scope Use
 
 - Not suitable for general-purpose Korean sentence classification outside financial or economic contexts.