Computer and Tablet Retail Order Management Tool-Use Trajectory Dataset

#tool use #order information retrieval #order modification #electronics retail order management #order tracking #intelligent customer service
  • 5000
  • 0.5GB
  • JSON
  • CATL
  • MOBIUSI INCMOBIUSI INC
Updated:2026-10-19

AI Analysis & Value Prop

This dataset covers computer and tablet retail scenarios involving order lookup, status tracking, and permitted order changes, capturing user requests, order context, and the model's tool-use process. Each trajectory records tool parameters and returned results, along with how the model selects follow-up actions or stops and explains limitations when information is missing or an operation is restricted. It is suitable for training and evaluating tool-use decisions, result follow-up, and constraint handling across the order lifecycle.

Dataset Insights

Sample Examples

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Technical Specifications

FieldTypeDescription
file_namestringFile name
raw_tracestringThe complete, unstructured order tool-use trajectory, stored as JSON text.
tool_callsarrayThe order tools called in sequence, including their arguments, returned results, and the model's subsequent decisions.
stop_reasonstringThe reason processing could not continue, required additional information, or was restricted; may be omitted when not applicable.
final_statusstringThe outcome of the order request when the trajectory ends.
request_typestringThe order-processing task type inferred from the user's request.
user_requeststringThe user's original request to look up, track, or modify a computer or tablet order.
order_contextobjectOrder and product details extracted and confirmed from the trajectory; details that cannot be confirmed may be omitted.
assistant_responsestringThe model's final message explaining the order status, completed actions, next steps, or execution limitations.
trajectory_summarystringA brief summary of the order request, tool-use decisions, and processing outcome.

Compliance Statement

Authorization TypeProprietary - Commercial AI Training License (No Redistribution)
Commercial UseRequires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and AnonymizationNo PII, no real company names, simulated scenarios follow industry standards
Compliance SystemCompliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Frequently Asked Questions

What order scenarios does the dataset cover?
It covers computer and tablet retail order lookups, status tracking, and requests for changes within permitted limits. The records show how the model confirms order details, calls tools, and chooses follow-up actions based on the returned results.
What information is included in each trajectory?
Fields include the raw trajectory as JSON text, the user request, request type, order context, ordered tool calls and results, final status, reasons for stopping or restrictions, the assistant's response, and a trajectory summary. The information available may vary by record.
Which training or evaluation tasks is it suited for?
Use it to train or evaluate order lookup and follow-up, tool selection and argument decisions, next-step planning based on tool results, and the ability to recognize restrictions and explain them clearly to users.
How can I access the dataset, and what are the licensing terms?
Access options, available versions, and permitted uses depend on the dataset listing or the provider's license. Before use, check whether the terms cover your intended training, evaluation, commercial deployment, and redistribution.

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Cite this Work

@dataset{Mobiusi2026,
  title={Computer and Tablet Retail Order Management Tool-Use Trajectory Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/79662d8f3cddc51f2c42cffec3fe2b61},
  urldate={2026-10-09},
  keywords={computer order management, tablet order tracking, order tool calling, tool-use training data, retail order processing, order status lookup, agent trajectory dataset, order lifecycle},
  version={1.0}
}

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