Gas Sensor Operating and Fault State Information Extraction Evaluation Set

#operating state extraction #fault state identification #trigger and manifestation extraction #gas sensor monitoring #sensor fault diagnosis #industrial equipment condition monitoring

Records: 5000
Size: 0.2GB
Format: JSON
Provider: MOBIUSI INC
Updated: v1.02026-11-04

AI Analysis & Value Prop

This evaluation set uses text from gas sensor manuals, maintenance guides, and troubleshooting webpages to assess whether models can identify and extract operating or abnormal states such as warm-up, calibration due, over-range, and sensor faults. It focuses on state descriptions, their triggering conditions, and their manifestations, providing a way to measure model understanding and information extraction from specialized gas sensor documents. It supports domain-specific model evaluation, equipment maintenance workflows, and validation of technical document processing.

Overview

Dataset Insights

Preview

Sample Examples

sample.json

{}

Schema

Technical Specifications

Field	Type	Description
file_name	string	File name
source_text	string	Verbatim text from a gas sensor manual, maintenance guide, or troubleshooting webpage used as the extraction input.
state_extractions	array	Operating, maintenance, warning, or fault states identified in the source text.

Trust

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

FAQ

Frequently Asked Questions

What types of text does the evaluation set include?: Source text types include gas sensor manuals, maintenance guides, and troubleshooting webpages, with descriptions related to equipment operation, maintenance, warnings, and faults.

Which information extraction capabilities does it evaluate?: It focuses on identifying operating and abnormal states, such as warm-up, calibration due, over-range, and sensor faults, and extracting their associated triggering conditions and manifestations.

What are suitable use cases?: The set can support gas sensor model evaluation, maintenance and fault diagnosis assistance, technical document extraction, and validation of state-monitoring applications.

How can the dataset be obtained, and what are the licensing terms?: Refer to the dataset page or provider for current access options, delivery specifications, and licensing terms. Confirm that the license covers your intended research, commercial, or model development use before applying it.

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Cite this Work

@dataset{Mobiusi2026,
  title={Gas Sensor Operating and Fault State Information Extraction Evaluation Set},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/5fce21ac51722f5cd40d3ebe361875f6?dataset_scene_cate_type=5},
  urldate={2026-10-20},
  keywords={gas sensor dataset,sensor fault states,gas sensor evaluation set,equipment state extraction,sensor fault diagnosis,gas sensor maintenance,technical document extraction,state recognition benchmark},
  version={1.0}
}

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