Workplace Meal Order Change and Cancellation Tool-Use Trajectory Dataset
#tool-use planning #order modification and cancellation #rule compliance verification #workplace meal ordering #food order modification #order cancellation management
- 6320
- 0.5GB
- JSON
- CATL
MOBIUSI INC
Updated:2026-11-02
AI Analysis & Value Prop
This scenario-based dataset covers workplace catering requests to adjust meal quantities, modify orders, or cancel orders, along with the tool-use trajectories for checking order status, validating business rules, submitting changes, and confirming outcomes. It captures constraints imposed by deadlines and order states, with fields for the original interaction, request summary, order context, rule checks, tool actions, and final outcome. Use it to train and evaluate models that check conditions before taking action, invoke tools in the right sequence, and verify results.
Dataset Insights
Sample Examples
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Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| raw_trace | string | The original conversation and tool-call trajectory, stored as a JSON-formatted string. |
| rule_checks | array | The business rules checked to determine whether the requested change is allowed. |
| tool_actions | array | The ordered tool calls used to inspect the order, check rules, submit a change, or confirm its result. |
| final_outcome | object | The final processing status and confirmation communicated or observed after the tool trajectory. |
| order_context | object | Order details and business state relevant to evaluating and processing the request. |
| request_summary | string | A concise summary of the customer's requested meal-order change or cancellation. |
| requested_change | object | The interpreted change requested by the customer. |
| trajectory_validated | boolean | Whether the trajectory checks order state and applicable rules before submission and verifies the result afterward. |
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 order-processing scenarios are covered?
- The dataset covers meal quantity adjustments, order modifications, and cancellation requests, including related order-status queries, business rule checks, change submissions, and outcome confirmations.
- What fields and data structures are included?
- Fields include the raw interaction trace, request summary, requested change, order context, rule checks, tool actions, final outcome, and a trajectory validation indicator. The raw trace is stored as a JSON-formatted string, while the other fields use their corresponding structured formats.
- Which capabilities can this dataset support?
- It can support training and evaluation of tool calling, order change processing, business rule validation, and state verification. It is particularly useful for assessing whether a model checks order status and applicable rules before submission and confirms the outcome afterward.
- How can I obtain the dataset, and what are the licensing terms?
- Check the dataset product page or contact the provider for available versions, delivery options, and licensing terms. Confirm that your intended use is within the license scope and follow applicable data security and usage requirements.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2026,
title={Workplace Meal Order Change and Cancellation Tool-Use Trajectory Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/25f2742952706a95d2298d3f8d713db8?dataset_task_cate_id=8},
urldate={2026-10-22},
keywords={workplace meal order dataset,catering tool use,order change trajectories,meal quantity adjustment data,order cancellation processing,tool-use training,business rule validation,tool-calling trajectories},
version={1.0}
}Using this in research? Please cite us.
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