Major Appliance Order Change and Cancellation Tool-Use Trajectory Dataset
#tool use #order status verification #business rule compliance #major appliance retail #after-sales order management #order cancellation services
- 5000
- 0.4GB
- JSON
- CATL
MOBIUSI INC
Updated:2026-10-19
AI Analysis & Value Prop
This dataset captures conversations and tool-use trajectories for major appliance after-sales order handling, including order status checks, eligibility reviews for changes or cancellations, and submission of the requested actions. It covers key details such as order information, fulfillment status, and business rules, along with tool responses that may indicate restrictions, rejection, or confirmation. It supports tool-use training, after-sales workflow simulation, and model evaluation, especially for handling failures and edge cases.
Dataset Insights
Sample Examples
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Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| source_trace | string | The original conversation and tool-use trace, stored as a JSON string. |
| order_snapshot | object | Order details, fulfillment status, and change or cancellation conditions extracted from the original trace. |
| decision_summary | object | A summary of the model's decision based on order status and business rules, along with the final handling outcome. |
| tool_call_sequence | array | An ordered record of order lookups, eligibility checks, action submissions, and tool responses. |
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
- Which order-handling scenarios are covered?
- The dataset focuses on major appliance after-sales order changes and cancellations. It records status checks, business-rule reviews, action submissions, and responses to tool results, making it suitable for simulating multi-step order workflows.
- What information does each record contain?
- Records include the original conversation and tool-use trace, a summary of order and fulfillment status, tool calls and responses in sequence, and a summary of the decision and outcome. The original trace is stored as a JSON string.
- How can the data be used for training or evaluation?
- Use it to train models to select tools based on order status and business rules, determine whether an order is eligible for a change or cancellation, and handle tool responses such as restrictions or confirmations. It can also support after-sales workflow simulation and tool-calling evaluation.
- How can the dataset be obtained, and what are the licensing terms?
- Check the dataset product page or provider documentation for availability, supported formats, and licensing terms. Review the applicable license and data-use conditions before commercial training, redistribution, or production deployment.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2026,
title={Major Appliance Order Change and Cancellation Tool-Use Trajectory Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/8e4e32ba784857a040866ebb8e44c01d?dataset_task_cate_id=8},
urldate={2026-10-10},
keywords={major appliance order data, order changes, order cancellations, tool-use trajectories, tool-use training, after-sales order processing, retail AI training data, order status reasoning},
version={1.0}
}Using this in research? Please cite us.
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