MOBIUSI INCCovers conversations in which knowledge-base evidence is missing, does not support a user's conclusion, or supports only a partial answer. Records pair multi-turn dialogue text with related evidence and show how an assistant can state limitations, avoid unsupported claims, and continue through clarification or a clearly scoped response. The dataset supports reliable response training and evaluation for RAG knowledge-base QA and dialogue supervised fine-tuning.
Overview
Preview
Schema
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| source_dialogue | string | The original multi-turn dialogue, including speaker labels and assistant responses. |
| source_evidence | string | The knowledge-base evidence associated with the dialogue; the value may be empty when no evidence is available. |
| conversation_turns | array | The dialogue parsed into an ordered sequence of speaker turns. |
| evidence_assessment | object | A structured assessment of what the supplied evidence supports and does not support. |
| assistant_strategies | array | Reliable response behaviors demonstrated by the assistant. |
| clarification_needed | boolean | Indicates whether a follow-up question is needed to provide a supported or more complete answer. |
Trust
Authorization Type
Proprietary - Commercial AI Training License (No Redistribution)
Commercial Use
Requires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and Anonymization
No PII, no real company names, simulated scenarios follow industry standards
Compliance System
Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs
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@dataset{Mobiusi2026,
title={Multi-Turn Dialogue Dataset for Insufficient Knowledge Evidence Scenarios},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/8d998ba2c54f3c8505a31abbd0210f1c?dataset_scene_id=19},
urldate={2026-10-26},
keywords={insufficient evidence dialogue,multi-turn dialogue dataset,RAG reliable responses,evidence-grounded generation,knowledge base QA training,dialogue SFT data,uncertainty communication training,clarification question generation},
version={1.0}
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