Network Configuration Change Record Entity Extraction Dataset

#Entity Extraction #Entity Type Recognition #Structured Information Generation #Operations Text Understanding #Network Operations #Configuration Change Management #Network Management Software #Operations Record Analysis

4710
0.5GB
JSON
CATL
MOBIUSI INC

Updated:2026-11-05

AI Analysis & Value Prop

This dataset centers on configuration change records from network and systems management software, including change summaries, descriptions, and related record fields. It provides structured entities and types for devices, interfaces, configuration objects, protocols, and software, supporting model training to identify key objects in operational text. It is suitable for network operations record processing, configuration change analysis, and development of related intelligent tools.

Dataset Insights

Sample Examples

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Technical Specifications

Field	Type	Description
file_name	string	File name
entity_count	integer	The total number of entities in extracted_entities.
extracted_entities	array	Entities identified in the source record, including devices, interfaces, configuration objects, protocols, and software.
source_record_json	string	The original configuration change record serialized as JSON, including its summary, description, and record fields.

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?: It contains source configuration change records serialized as JSON, along with the entities identified in each record and the total entity count. Entity categories include devices, interfaces, configuration objects, protocols, and software.

Which training and evaluation tasks does it support?: The data can support entity extraction, entity type recognition, and structured information generation. It can also be used to evaluate how well a model understands network operations change records; adapt it to the input and output formats of the target model.

What are the dataset size and annotation quality?: The available information does not specify the number of records or quantitative quality metrics, so dataset size and accuracy should not be assumed. Its fields provide source records, extracted entities, and entity counts, making the structure straightforward to inspect and process.

How can I obtain the dataset, and what are the licensing terms?: Access methods and license terms depend on the dataset provider or listing. Before use, confirm whether the license permits training, evaluation, commercial use, and redistribution.

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Cite this Work

@dataset{Mobiusi2026,
  title={Network Configuration Change Record Entity Extraction Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/5d780a47c18146cef0d4e327959a6e69},
  urldate={2026-10-22},
  keywords={network configuration change dataset,network entity extraction,operations record entity recognition,device and interface recognition,configuration object extraction,protocol entity recognition,network management data,structured output training},
  version={1.0}
}

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