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Computer and Tablet Warranty and Repair Service Tool-Invocation Trajectory Dataset
#tool invocation #service information retrieval #appointment scheduling #device warranty verification #electronics repair services #repair appointment booking
- 5000
- 0.4GB
- JSON
- CATL
MOBIUSI INC
Updated:2026-10-19
AI Analysis & Value Prop
This dataset records tool-invocation trajectories for computer and tablet after-sales service, including warranty or service eligibility checks, repair option searches, service location lookups, and appointment booking. The trajectories show how a model gathers device or order details, calls lookup tools, handles returned results, and requests missing information when needed. They include raw interactions and structured task, device, eligibility, repair option, location, appointment, and outcome data for training and evaluating multi-step after-sales tool use.
Dataset Insights
Sample Examples
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Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| raw_trace | object | Unprocessed source data containing the complete conversation and tool-call trace. |
| appointment | object | Records the booking status and appointment details. |
| device_info | object | Computer or tablet device and order details extracted from the conversation and tool calls. |
| final_status | string | Summary of the final outcome of the after-sales service task. |
| task_category | string | After-sales service task type inferred from the trajectory. |
| repair_options | array | Repair methods returned by tools, including available cost, timing, or coverage details. |
| service_locations | array | Repair service locations or provider details returned by tools. |
| conversation_steps | array | User, assistant, and tool interaction steps arranged in chronological order. |
| missing_information | array | Information the user still needs to provide before service can be checked or arranged. |
| service_eligibility | object | Records the device's warranty status, service eligibility, and related lookup results. |
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 after-sales service tasks are included?
- The dataset covers warranty or service eligibility checks for computers and tablets, available repair option searches, service location lookups, and appointment booking. It also includes conversations where device or order details must be requested.
- What information does each trajectory provide?
- Records include raw conversation and tool-call traces, along with structured task category, device information, ordered interaction steps, eligibility results, repair options, service locations, appointment details, missing information, and final task status. Specific results vary by trajectory.
- What training and evaluation use cases does it support?
- It can be used to train or evaluate models on interpreting service requests, collecting required details, selecting and calling tools, advancing workflows based on tool responses, and deciding when to ask users for clarification.
- How can the dataset be obtained, and what are the licensing terms?
- Obtain it through the dataset publisher or provider's designated channel. Refer to the associated product listing or license agreement for delivery details, permitted uses, and applicable authorization terms.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2026,
title={Computer and Tablet Warranty and Repair Service Tool-Invocation Trajectory Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/300f8c400ae027236d19623df423be64?dataset_scene_cate_type=2},
urldate={2026-10-09},
keywords={computer warranty dataset, tablet repair data, after-sales tool invocation, tool-use training, repair booking trajectories, service eligibility checks, computer retail data, multi-step dialogue data},
version={1.0}
}Using this in research? Please cite us.
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