Travel Itinerary Disruption and Rebooking Evidence Retrieval Benchmark

#evidence retrieval #travel rule matching #evidence-based question answering #travel disruption management #ticket rebooking assistance #travel policy information retrieval

5000
0.3GB
JSON
CATL
MOBIUSI INC

Updated:2026-11-05

AI Analysis & Value Prop

This benchmark covers cancellations, delays, and other travel itinerary disruptions, pairing travel provider web notices and ticket rules with questions, answers, and source information. Its examples focus on finding the rebooking, refund, or follow-up guidance that applies to a specific disruption scenario, enabling evaluation of evidence retrieval and answer grounding. Source documents and evidence spans support retrieval verification and retrieval-augmented generation testing.

Dataset Insights

Sample Examples

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Technical Specifications

Field	Type	Description
file_name	string	File name
answer_text	string	A concise answer grounded in the source document and tailored to the question.
user_question	string	A question requesting evidence-based guidance for a travel disruption scenario.
evidence_spans	array	Exact passages and source locations that support the answer.
disruption_type	string	The disruption addressed by the question or source, such as a cancellation, delay, or other itinerary disruption.
source_document	object	The original travel provider webpage or ticket rule text, together with identifying source metadata.
applicable_action	string	The rebooking, refund, or other follow-up action supported by the source.

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 types of data does the benchmark contain?: It covers cancellations, delays, and other travel itinerary disruptions. Records include travel provider web notices or ticket rules, questions that require source-based answers, reference answers, and source or evidence-span information.

Which capabilities can it evaluate?: It can evaluate retrieval of relevant guidance from web text, identification of passages that support an answer, and generation of grounded rebooking, refund, or follow-up guidance for a specific disruption scenario.

How can I obtain the data?: Check the dataset product page for available versions, delivery formats, and access options. Before use, review the field descriptions and sample contents to confirm they fit your retrieval or evaluation workflow.

Can the data be used commercially?: Commercial use depends on the dataset's specific license terms and any applicable conditions for the included source texts. Review the licensing information on the product page before obtaining or using the data, and comply with the requirements for source content.

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Cite this Work

@dataset{Mobiusi2026,
  title={Travel Itinerary Disruption and Rebooking Evidence Retrieval Benchmark},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/229167812ca8a1354f53f325f44ed4cc},
  urldate={2026-10-20},
  keywords={travel disruption dataset,ticketing rules,rebooking and refund retrieval,travel delay questions,cancellation policy,evidence retrieval benchmark,RAG evaluation data,web text question answering},
  version={1.0}
}

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