Behavioral Medicine Dialogue Implicit-Intent Hard Cases Dataset

#implicit intent recognition #intent classification #contextual reasoning #behavioral medicine consultations #patient intent understanding #mental health dialogue analysis

5000
0.4GB
JSON
CATL
MOBIUSI INC

Updated:2026-10-19

AI Analysis & Value Prop

This dataset pairs behavioral medicine dialogue text with intent labels, focusing on implicit, indirect, and multiple intents that require conversational context to identify. Examples include stating a difficulty as an indirect request for help or expressing ambivalence while signaling willingness to change. The context-dependent and easily confused expressions support fine-tuning and evaluation of dialogue intent understanding; consult the product page for sample counts and data specifications.

Dataset Insights

Sample Examples

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Technical Specifications

Field	Type	Description
file_name	string	File name
dialogue_text	string	Dialogue text provided as the source input for intent annotation.
intent_labels	array	One or more intents inferred from the dialogue context, including implicit, indirect, or multiple intents.

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 contains behavioral medicine dialogue text paired with intent labels, including implicit, indirect, or multiple intents inferred from conversational context. The fields are dialogue_text and intent_labels.

Which model capabilities can it support?: It supports intent classification, implicit intent detection, contextual understanding, and multi-intent recognition, especially for expressions that cannot be interpreted reliably from a single utterance alone.

How can I check the dataset size and obtain it?: Sample counts and file specifications are not provided in this overview. Check the product page for the latest specifications and follow its download or delivery instructions.

What are the licensing and usage terms?: Refer to the product page or accompanying license for permitted uses, redistribution rules, and other terms. Research or service development in behavioral medicine should also comply with applicable privacy and regulatory requirements.

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Cite this Work

@dataset{Mobiusi2026,
  title={Behavioral Medicine Dialogue Implicit-Intent Hard Cases Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/a2586cadea2f4116d09030ffb2e040af},
  urldate={2026-10-13},
  keywords={behavioral medicine dialogue data,implicit intent detection,dialogue intent classification,indirect intent understanding,multi-intent recognition,health conversation dataset,contextual understanding training,behavioral medicine AI},
  version={1.0}
}

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