Cold-Chain Transport Duration and Deadline Reasoning Dataset

#transport duration calculation #temporal reasoning #overdue delivery assessment #cold-chain logistics #refrigerated transport monitoring #delivery deadline management

5000
0.3GB
JSON
CATL
MOBIUSI INC

Updated:2026-10-19

AI Analysis & Value Prop

Designed for refrigerated trucking scenarios, this dataset records transport events in chronological order, delivery deadlines or time windows, and the evaluation time used for assessment. It provides supervised answers for transport duration, remaining time, overdue status, and delivery status, together with concise calculation explanations to support learning temporal interval and deadline reasoning. It is suitable for reasoning SFT, temporal reasoning evaluation, and research on transport timeliness.

Dataset Insights

Sample Examples

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Technical Specifications

Field	Type	Description
file_name	string	File name
is_overdue	boolean	For a delivered shipment, compares the delivery event time with the deadline. For a shipment not yet delivered, compares the evaluation time with the deadline.
event_sequence	array	Records transport events in chronological order. Event types should identify key milestones such as departure or delivery.
delivery_status	string	The delivery status inferred from the transport event sequence.
evaluation_time	string	The reference time used to calculate remaining time or determine whether an undelivered shipment is overdue, formatted as an ISO 8601 datetime.
delivery_constraint	object	Describes the applicable deadline or delivery time window for the transport.
remaining_time_minutes	number	The number of minutes from the evaluation time until the deadline or the end of the delivery window. A negative value indicates that the time limit has passed.
calculation_explanation	string	Briefly explains the event times and deadline used, along with the duration calculation and overdue assessment.
transport_duration_minutes	number	The number of minutes between the departure and delivery events in the transport event sequence. If a key event is missing, calculate the duration from the available events and explain the basis.

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 transport information does the dataset include?: The dataset is organized around refrigerated trucking event sequences and includes delivery constraints and an evaluation time. It also provides fields for transport duration, remaining time, overdue status, delivery status, and calculation explanations.

How do the supervised answers support temporal reasoning training?: Samples provide calculated values and decision labels based on event times and delivery constraints. They can help train models to identify key time points, calculate intervals, and determine whether completed or pending deliveries are overdue. The calculation_explanation field can be used to inspect the reasoning process.

What format does the data use, and how can it be obtained?: The schema includes an event sequence array, a delivery constraint object, an ISO 8601 datetime string, numeric and Boolean values, and text fields. Refer to the product page or package documentation for the available file format and access instructions.

What can the dataset be used for, and what are the licensing terms?: It is suitable for reasoning SFT, temporal relation reasoning evaluation, and research or development related to refrigerated transport timeliness. Commercial use, redistribution, and other permissions are governed by the applicable product page or license agreement.

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Cite this Work

@dataset{Mobiusi2026,
  title={Cold-Chain Transport Duration and Deadline Reasoning Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/66c668c904196b0011f0f11b0ab32b9f?dataset_scene_id=13},
  urldate={2026-10-10},
  keywords={cold chain transport dataset, refrigerated trucking, temporal reasoning data, transport duration calculation, delivery deadline assessment, overdue detection data, reasoning SFT data, event sequence dataset},
  version={1.0}
}

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