Cache Consistency Protocol Code Reasoning Dataset

#code understanding #state dependency analysis #consistency protocol reasoning #distributed cache management #cache consistency verification #distributed system reliability

5000
0.3GB
JSON
CATL
MOBIUSI INC

Updated:2026-11-04

AI Analysis & Value Prop

This benchmark focuses on implementation code for consistency protocols in distributed caching systems, covering cache read and write paths, version checks, leases, arbitration, and invalidation. Samples ask models to trace preconditions and dependencies among protocol components, state variables, and operations, then infer consistency guarantees, failure handling, and applicable boundaries. It supports code-reasoning model training, dependency analysis, and protocol behavior evaluation.

Dataset Insights

Sample Examples

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Technical Specifications

Field	Type	Description
file_name	string	File name
source_code	string	Source code for the cache consistency protocol implementation to be analyzed.
read_write_paths	array	Cache read and write flows in the code, including version validation and consistency commit paths.
protocol_overview	string	A summary of the protocol's goals, core workflows, and consistency model.
state_dependencies	array	Precondition, read, update, and invalidation dependencies among protocol state variables.
analysis_conclusion	string	A final conclusion about consistency behavior and applicable boundaries, based on the protocol components, read and write paths, and state dependencies.
protocol_components	array	Protocol components identified in the code, such as caches, version management, leases, arbitration, and invalidation.
consistency_strategy	object	A summary of the implemented consistency mechanisms, guarantees, failure handling, and risks.
dependency_relations	array	Directed dependency relations among protocol components, states, and operations.

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?: The dataset focuses on cache consistency protocol implementation code and provides structured analyses such as protocol overviews, component identification, read and write paths, state dependencies, dependency relations, and final reasoning conclusions.

Which capabilities can it support for training or evaluation?: It is suitable for code SFT and benchmark evaluation. Supported tasks include analyzing dependencies among protocol components, tracing state changes, understanding read and write flows, and inferring consistency strategies and their applicable boundaries.

What are the dataset size and code quality characteristics?: The dataset is positioned as a code reasoning benchmark, with structured analysis tasks focused on protocol behavior. Consult the specific package documentation for sample counts, programming language coverage, and quality review details.

How can the dataset be obtained, and what licensing terms apply?: Obtain it through the provider's listed product page or delivery channel, and review the applicable terms for licensing, redistribution, and commercial use before use. Any third-party source code in the samples may also be subject to its original license.

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Cite this Work

@dataset{Mobiusi2026,
  title={Cache Consistency Protocol Code Reasoning Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/aca825511022de97ad270ba9bf32c71a?dataset_scene_cate_type=9},
  urldate={2026-10-14},
  keywords={cache consistency,distributed caching,protocol code reasoning,code dependency analysis,read write path analysis,version checking,lease arbitration,code SFT dataset},
  version={1.0}
}

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