Consensus Membership Change Code Verification Dataset

#code verification #root cause analysis #configuration transition validation #distributed consensus systems #cluster membership management #distributed system reliability

5000
0.4GB
JSON
CATL
MOBIUSI INC

Updated:2026-10-25

AI Analysis & Value Prop

This dataset covers source code for member additions, removals, and configuration changes in distributed consensus systems. It focuses on quorum calculations, configuration state transitions, and joint consensus logic, pairing faulty code with code for reproducing issues or validating behavior. Structured scenario details support coding agent training for diagnosing membership-change failures and checking whether repairs preserve consistency constraints.

Dataset Insights

Sample Examples

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Technical Specifications

Field	Type	Description
file_name	string	File name
change_context	string	Input context and triggering conditions for a membership change, configuration transition, or joint consensus scenario.
change_operation	string	The operation represented in the code, such as adding or removing a member, changing a configuration, or using joint consensus.
faulty_code_source	string	Source code containing defects related to member additions, removals, or configuration changes.
quorum_constraints	array	Quorum calculation rules and consistency constraints that must be met during membership changes.
validation_outcome	string	Summary of validation execution results and whether the fix passes the relevant checks.
root_cause_analysis	string	Analysis of the underlying cause of a membership-change failure based on the faulty code and scenario.
validation_code_source	string	Test and validation code used to reproduce failures or assess fixes for membership changes.
repair_consistency_assessment	string	Assessment of whether the repair preserves correct configuration transitions, quorum requirements, and consistency constraints.
configuration_transition_summary	string	Summary of the relationship between the old, new, and intermediate configurations and the state transition process.

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

Which membership-change scenarios are covered?: The dataset focuses on member additions, member removals, configuration changes, and joint consensus logic in distributed consensus systems. It includes related faulty code, scenario context, and validation code; the exact coverage depends on the records available.

How does the dataset support debugging and code verification?: Records can connect faulty source code with its triggering scenario, change type, root cause analysis, configuration transition summary, quorum constraints, and validation outcome. This structure can help train coding agents to diagnose failures and check whether a repair meets the intended constraints.

How can I access and use the dataset?: Refer to the product page or interface for available download and access options. The data is suited to coding agent training, debugging and root cause analysis, and verification of consensus membership-change code. Check that the field structure fits your task before use.

What licensing and code-use conditions apply?: Check the product page or accompanying license information for applicable terms and source-code restrictions. Before using the data for training, evaluation, or redistribution, verify the relevant license and follow any usage and attribution requirements.

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Cite this Work

@dataset{Mobiusi2026,
  title={Consensus Membership Change Code Verification Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/10393a87b8b2e56523879067ab333c21},
  urldate={2026-10-10},
  keywords={consensus membership changes, distributed consensus, configuration transitions, quorum calculation, joint consensus, source code verification, coding agent training, root cause analysis},
  version={1.0}
}

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