AI Workflow Requirement Clarification and Design Dialogue Dataset

#multi-turn dialogue generation #requirement clarification #intent understanding #workflow planning #AI workflow orchestration #automation requirement analysis #enterprise process design #assistant training

4520
0.4GB
JSON
CATL
MOBIUSI INC

Updated:2026-11-02

AI Analysis & Value Prop

This dataset focuses on multi-turn conversations between users and assistants about automation needs, covering key details such as goals, trigger conditions, workflow steps, constraints, and expected outcomes. The dialogues show how an assistant can identify requirements, ask for missing information, and develop a workflow proposal. It supports dialogue SFT and evaluation of requirement understanding, clarification, and workflow design for orchestration assistants.

Dataset Insights

Sample Examples

{}

Technical Specifications

Field	Type	Description
file_name	string	File name
constraints	string	User-stated restrictions, prerequisites, permissions, or other limitations that the workflow must respect.
dialogue_text	string	The complete multi-turn conversation between the user and assistant about the desired automation workflow.
workflow_steps	string	The proposed workflow actions in their intended order, including important inputs, decisions, or branches.
automation_goal	string	The outcome or task the user wants the workflow to automate.
expected_result	string	The intended final output or state after the workflow completes successfully.
trigger_condition	string	The event, schedule, or condition that starts the workflow, including relevant details clarified in the dialogue.
final_workflow_plan	string	A consolidated natural-language workflow proposal incorporating the clarified goal, trigger, steps, constraints, and expected result.
conversation_summary	string	A concise summary of the key clarifications and decisions made during the conversation.
unresolved_questions	string	Important requirements or implementation details that remain unclear or unanswered at the end of the dialogue.

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 multi-turn conversations between users and assistants about automation workflows. Topics include automation goals, trigger conditions, steps, constraints, and expected outcomes, with dialogues illustrating how requirements are clarified and turned into workflow proposals.

Which capabilities can this dataset support?: It can support training or evaluation of requirement understanding, follow-up questions for missing details, constraint identification, and workflow planning in multi-turn dialogue. It is also suitable for dialogue SFT for workflow orchestration assistants.

Which structured fields are included?: Fields include the complete dialogue, conversation summary, automation goal, trigger condition, workflow steps, constraints and limitations, expected result, unresolved questions, and final workflow plan. These fields support processing by conversation or by requirement element.

How can I obtain the data, and what are the licensing terms?: Refer to the delivery method, license scope, and terms provided on the current product page. Verify the applicable license before using the data for commercial training, redistribution, or other specialized purposes.

Can't find the data you need?

Post a request and let data providers reach out to you.

Get this Dataset

Verified for Enterprise Use

Cite this Work

@dataset{Mobiusi2026,
  title={AI Workflow Requirement Clarification and Design Dialogue Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/bbb58d1fb3f393241e878718bab35599?dataset_task_cate_id=8},
  urldate={2026-10-22},
  keywords={AI workflow dialogue data,workflow requirement clarification,automation workflow design,multi-turn dialogue dataset,dialogue SFT corpus,workflow orchestration assistant,automation requirement understanding,workflow plan generation},
  version={1.0}
}

Using this in research? Please cite us.

placeholder

Scene

Domain

Modality

Task