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Home/Dynamic Travel Packaging Inventory Availability and Pre-Booking Revalidation Code Dataset

Dynamic Travel Packaging Inventory Availability and Pre-Booking Revalidation Code Dataset

#Natural language to code #Inventory availability checking #Quote state updates #Pre-booking revalidation #Dynamic travel packaging #Flight inventory management #Hotel booking #Supplier quote validation

7642
0.4GB
JSON
CATL
MOBIUSI INC

Updated:2026-11-04

AI Analysis & Value Prop

This dataset pairs natural-language scenarios with Python code examples covering inventory changes, quote validity, and pre-booking revalidation for flights, hotels, and other supplier products. Structured fields capture product types, inventory status changes, quote timing, revalidation triggers, and checking logic for developing inventory and quote state management in dynamic travel packaging systems. The focus is availability checks and quote updates, not package pricing formulas.

Dataset Insights

Sample Examples

{}

Technical Specifications

Field	Type	Description
file_name	string	File name
quote_update_logic	string	Generated or normalized code logic for refreshing or updating supplier quote state without defining package pricing formulas.
source_requirement	string	Original natural-language requirement describing availability, inventory, quote validity, or revalidation behavior.
source_code_example	string	Reference code example supplied with the requirement, represented as Python source text.
revalidation_trigger	string	Condition or event that requires availability or quote revalidation before booking.
revalidation_required	boolean	Indicates whether availability or quote details must be checked again before booking.
supplier_product_type	string	Normalized category of the supplier product affected by the availability or quote requirement.
inventory_status_after	string	Inventory availability status after the described change.
quote_expiry_timestamp	string	Timestamp after which the supplier quote is no longer valid, when specified.
quote_validity_seconds	integer	Quote validity duration in seconds, when it can be determined from the requirement.
inventory_status_before	string	Inventory availability status before the described change.
availability_check_logic	string	Generated or normalized code logic for checking current supplier inventory availability.
inventory_change_timestamp	string	Timestamp associated with the inventory status change, when specified.

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 does the dataset contain?: It includes natural-language requirements and Python code examples describing inventory, quote validity, or revalidation behavior. Structured fields cover supplier product types, inventory statuses, timestamps, revalidation conditions, and related logic.

Which capabilities can this dataset support?: It supports training models to turn business requirements into code, check supplier inventory availability, update quote state, and revalidate details before booking when specified conditions occur. It focuses on supply and quote state management rather than travel package pricing formulas.

What are the dataset size and code format?: Records are organized into structured fields, and code examples are represented as Python source text. The available information does not specify a record count or coverage ratios, so refer to the product page for published specifications.

How can I obtain the dataset, and what are the licensing terms?: Obtain it through the dataset product page or its designated delivery channel, and review the listed delivery format, license scope, and commercial-use terms before use. Licensing details are not specified in the current dataset description.

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Cite this Work

@dataset{Mobiusi2026,
  title={Dynamic Travel Packaging Inventory Availability and Pre-Booking Revalidation Code Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/a3e5c3afc9bb743f5fc715adead2ed6a},
  urldate={2026-10-22},
  keywords={dynamic travel packaging dataset,inventory availability checks,pre-booking revalidation,supplier quote updates,flight inventory code,hotel inventory management,Python code generation,travel system code training},
  version={1.0}
}

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