Mobile Application Vulnerability Remediation Document Retrieval Dataset
#security document retrieval #vulnerability-remediation matching #semantic retrieval #mobile application security #vulnerability remediation #cybersecurity document retrieval
- 5000
- 0.3GB
- JSON
- CATL
MOBIUSI INC
Updated:2026-10-19
AI Analysis & Value Prop
This dataset pairs queries describing mobile application vulnerabilities, security advisories, or affected behaviors with candidate remediation web documents. Each record includes a relevance label, the rationale behind the judgment, and a summary of the proposed fix. Focused on connecting mobile security issues with applicable remediation resources, it supports the development and evaluation of security retrieval and query-document matching systems. Typical uses include remediation document retrieval, relevance ranking, and security question answering.
Dataset Insights
Sample Examples
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Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| query_text | string | Original text describing a mobile application vulnerability, security advisory, or affected behavior. |
| document_text | string | Original text from a candidate remediation web page, including fix recommendations or relevant technical details. |
| repair_summary | string | Summarizes the main fixes in the candidate document for the security issue in the query; if the document is not applicable, states why or indicates that no applicable fix is available. |
| relevance_label | boolean | Indicates whether the candidate remediation document is applicable to the security issue described in the query. |
| relevance_rationale | string | Explains how the query corresponds to the remediation document and why the document is judged relevant or irrelevant. |
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?
- Each record includes a mobile application vulnerability query, candidate remediation document text, a relevance judgment with its rationale, and a summary of the proposed fix. Reasons can also be provided when a candidate document is not applicable.
- Which capabilities can the data train or evaluate?
- It can support training and evaluation for query-document matching, candidate relevance classification, and ranking. It can also support mobile application security question answering and the organization of remediation suggestions based on retrieved documents.
- How can I check access and licensing terms?
- Refer to the access instructions, license terms, and usage restrictions on the dataset product page or in the delivery agreement. When using candidate web text, comply with the copyright, license, and use requirements of the relevant sources.
- Does the dataset specify a fixed size or file format?
- The available information does not specify the sample count or file format, so consult the product specifications and delivered files. The schema includes text fields, a boolean relevance label, and explanatory text.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2026,
title={Mobile Application Vulnerability Remediation Document Retrieval Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/70bd3a31f98a25dc8a2969ebd82910f8?dataset_scene_cate_type=9},
urldate={2026-10-17},
keywords={mobile application vulnerabilities,vulnerability remediation documents,mobile application security,security knowledge retrieval,query-document matching,remediation recommendations,security document retrieval,relevance ranking},
version={1.0}
}Using this in research? Please cite us.
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