Dynamic Travel Packaging Inventory Availability and Pre-Booking Revalidation Code Dataset
- Records
- 7642
- Size
- 0.4GB
- Format
- JSON
- Provider
MOBIUSI INC- Updated
- v1.02026-11-04
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.
Overview
Dataset Insights
Preview
Sample Examples
Schema
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| quote_expiry_timestamp | string | Timestamp after which the supplier quote is no longer valid, when specified.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. |
Trust
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
FAQ
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.
Can't find the data you need?
Post a request and let data providers reach out to you.
Get this Dataset
High-quality data, ready for your next AI breakthrough.
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?dataset_task_cate_id=8},
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}
}Using this in research? Please cite us.