LNG Carrier Port Call Coordination Tool-Use Trajectory Dataset

#visual question answering #image classification #disease detection #color blindness detection #color weakness assessment #medical diagnostic tools #health assessment

5000
0.2GB
JSON
CATL
MOBIUSI INC

Updated:2026-10-19

AI Analysis & Value Prop

This dataset captures agents coordinating LNG carrier port calls through combinations of tools for arrival-time estimation, port or receiving-terminal information lookup, berth-vessel compatibility checks, and port-call document preparation. It includes task requests, raw tool-use traces, normalized workflow steps, key check results, document lists, and workflow statuses, making it suitable for training and evaluating multi-tool agent collaboration in port-call workflows. Structured call sequences, parameters, outputs, and coordination summaries support supervised learning of cross-source information gathering, validation, and integration; the actual sample size and coverage depend on the delivered data.

Dataset Insights

Sample Examples

{}

Technical Specifications

Field	Type	Description
file_name	string	File name
task_request	string	The original user request and related conditions for an LNG carrier port call.
workflow_steps	array	Port-call coordination steps derived from the raw tool-use trace, with a summary of each step's outcome.
tool_call_trace	array	The sequence of tool calls made by the agent, including parameters, returned results, and statuses.
workflow_status	string	The task status determined from tool calls and validation results.
arrival_estimate	object	A summary of the vessel's estimated arrival information obtained or inferred from the tool-use trace.
required_documents	array	Required port-call documents identified from tool lookups and task requirements, along with their preparation status.
coordination_summary	string	A user-facing summary of port-call arrangements, key validation results, and next steps.
berth_vessel_compatibility	object	A summary of compatibility findings for the vessel and the target berth or receiving terminal.

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 port-call coordination content does the dataset include?: It includes user port-call requests, agent tool-call sequences and results, normalized workflow steps, arrival-time estimates, vessel-to-berth compatibility checks, port-call document lists, and workflow statuses. Scenarios include port or receiving-terminal information lookup and document preparation.

What information is recorded in each tool-use trace?: The raw trace records tool-call order, call parameters, returned results, and status. Normalized steps and coordination summaries make task progress and key outcomes easier to review. The data is organized into structured fields; verify sample quality and coverage against the actual delivery.

Which training or evaluation tasks is this dataset suited for?: It can support training or evaluation of multi-tool agents on task decomposition, tool selection and execution, cross-source information validation, workflow completion, and result summarization. It can also support process analysis and testing applications for LNG carrier port-call coordination.

How can I obtain the data, and what are the licensing terms?: Access methods, delivery specifications, and license scope are defined by the product listing or supplier agreement. Before use, confirm the sample size, field definitions, update status, permitted use cases, and redistribution restrictions. No specific license terms are provided in the available information.

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={LNG Carrier Port Call Coordination Tool-Use Trajectory Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/3f2c1d458bfbefbadfcaf6adc0c3539f},
  urldate={2026-10-09},
  keywords={LNG carrier data, port call coordination, tool-use trajectories, multi-tool agent training, LNG terminals, berth compatibility, arrival time estimation, vessel workflow data},
  version={1.0}
}

Using this in research? Please cite us.

placeholder

Products

Scene

Domain

Modality

Task