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README.md
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@@ -35,6 +35,17 @@ The model can be used to classify financial sentences (in Korean) into one of th
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- **Factual** (사실형)
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- **Conversational** (대화형)
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### Out-of-Scope Use
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- Not suitable for general-purpose Korean sentence classification outside financial or economic contexts.
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- **Factual** (사실형)
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- **Conversational** (대화형)
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### Training Data
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- **Dataset Name:** 문장 유형(추론, 예측 등) 판단 데이터
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- **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)
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이 데이터는 한국어 금융 문장을 다음 네 가지 유형으로 분류합니다:
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- `예측형 (Predictive)`
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- `추론형 (Inferential)`
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- `사실형 (Factual)`
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- `대화형 (Conversational)`
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### Out-of-Scope Use
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- Not suitable for general-purpose Korean sentence classification outside financial or economic contexts.
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