ThakiCloud/EnterpriseOps-KO-Policy
EnterpriseOps-KO Policy 한국어 기업 상담 에이전트가 회사 정책을 읽고 올바른 행동 하나를 고르는지 재는 벤치마크입니다. 각 문항은 정책(규정과 예외 조항)과 고객 요청으로 이루어져 있고, 모델은 행동 7종 (ANSWER · ASK_CLARIFICATION · ASK_CONFIRMATION · CALL_TOOL · CALL_MULTIPLE_TOOLS · ESCALATE · REFUSE) 가운데 하나를 JSON 으로 답합니다. 문항 2,414개, 전부 합성 데이터이며 실제 고객 정보는 없습니다. 필드 필드 뜻 id 문항 식별자 prompt 정책 + 고객 요청 expected_action 정답 행동 policy_family 정책 계열 exception_mode 예외 조항 상태: firing(발동) · nonfiring(미발동) · none(예외 없음) · form_blocked… See the full description on the dataset page: https://huggingface.co/datasets/ThakiCloud/EnterpriseOps-KO-Policy.
| Author / organization | ThakiCloud |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 177 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 24 September 2026 |
| Last updated at source | 14 October 2026 |
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177 now (+19 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- ThakiCloud/Qwen3.8-27B-Human-KO-Enterprise-v0.2Model · used to train
- ThakiCloud/Qwen3.8-27B-Human-KO-Enterprise-v0.1Model · used to train
- mradermacher/Qwen3.8-27B-Human-KO-Enterprise-Boundary-i1-GGUFModel · used to train
- mradermacher/Qwen3.8-27B-Human-KO-Enterprise-v0.2-i1-GGUFModel · used to train
- mradermacher/Qwen3.8-27B-Human-KO-Enterprise-Boundary-GGUFModel · used to train
- When Should Enterprise Policy Decisions Be Learned, and When Should They Be Reasoned?Paper · cites
- mradermacher/Qwen3.8-27B-Human-KO-Enterprise-v0.2-GGUFModel · used to train
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