Luxury Hotel Multi-Turn Contextual Intent Classification Dataset

#Contextual Intent Classification #Multi-Turn Dialogue Understanding #Reference Resolution #Ellipsis Interpretation #Luxury Hotel Chat Service #Guest Need Recognition #Hotel Customer Support #Multi-Turn Service Dialogue

3430
0.2GB
JSON
CATL
MOBIUSI INC

Updated:2026-11-03

AI Analysis & Value Prop

This dataset contains multi-turn chat excerpts between hotel guests and staff, with intent labels for the guest messages being classified. It focuses on follow-up messages, references, and elliptical expressions that require prior turns for interpretation, helping models identify guest needs from full conversational context rather than isolated sentences. It supports intent classification fine-tuning, dialogue understanding evaluation, and service workflow improvement for luxury hotel chat operations.

Dataset Insights

Sample Examples

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Technical Specifications

Field	Type	Description
file_name	string	File name
turn_count	integer	The number of messages in the conversation transcript.
intent_label	string	The annotated intent category for the guest message being classified.
current_guest_message	string	The guest message whose intent is being classified, extracted from the conversation transcript.
conversation_transcript	string	The complete multi-turn chat excerpt, with speaker labels and messages in chronological order.
prior_conversation_context	string	The messages preceding the current guest message, retained to support context-dependent interpretation.

Compliance Statement

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

Frequently Asked Questions

What does the dataset contain?: It includes chronologically ordered chat transcripts between guests and hotel staff, the guest message being classified, its intent label, prior conversation context, and the conversation turn count.

How does the dataset support contextual understanding?: Examples retain the messages preceding the current guest message and focus on context-dependent follow-ups, references, and elliptical expressions. They can be used to train or evaluate models that infer intent from prior turns.

Which training and evaluation tasks does it support?: It supports contextual intent classification, multi-turn dialogue understanding, and guest need recognition in luxury hotel chat services. It can also be used for task-specific fine-tuning and service dialogue model evaluation.

How can I obtain the data, and what are the licensing terms?: Check the current product page for available access methods, delivery specifications, and license terms. The purchase or license agreement defines the permitted scope of use.

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Cite this Work

@dataset{Mobiusi2026,
  title={Luxury Hotel Multi-Turn Contextual Intent Classification Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/10ecf5ea9dfcd4702a7ecf42c4b50572},
  urldate={2026-10-26},
  keywords={luxury hotel dataset,hotel dialogue data,multi-turn intent classification,guest service chat,contextual intent recognition,hotel customer service AI,chat text training data,reference resolution dataset},
  version={1.0}
}

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