Banana Pest and Disease Attribute Extraction Evaluation Dataset

#named entity recognition #attribute extraction #disease status identification #banana pest and disease monitoring #agricultural information extraction #crop health assessment

5000
0.5GB
JSON
CATL
MOBIUSI INC

Updated:2026-10-19

AI Analysis & Value Prop

This evaluation dataset contains web text from banana pest and disease descriptions, production guidance, and control materials, organized around banana plant health issues. It pairs source passages with structured attributes such as health issue name, affected plant parts, symptoms, and occurrence status. The dataset supports benchmarking entity recognition, status understanding, and structured information extraction for banana production, as well as model comparison and agricultural text research.

Dataset Insights

Sample Examples

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Technical Specifications

Field	Type	Description
file_name	string	File name
symptoms	array	Symptoms or damage caused by the pest or disease as described in the source text.
source_text	string	Web text from banana pest and disease descriptions, production guidance, or control materials.
affected_parts	array	Parts of the banana plant that are infected, damaged, or show symptoms related to the pest or disease.
health_issue_name	string	The name of the banana disease or pest mentioned in the source text.
occurrence_status	string	The reported occurrence, progression, or damage status of the pest or disease, such as its occurrence period, severity, or whether it is currently present.

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 includes web text from banana pest and disease descriptions, production guidance, or control materials, paired with structured attributes such as health issue name, affected parts, symptoms, and occurrence status.

Which capabilities can it evaluate?: It can assess whether models identify disease or pest entities in agricultural text, locate affected plant parts, understand symptom descriptions, and extract information such as occurrence period, severity, or status.

What are the dataset size and quality specifications?: The information currently provided does not specify the record count or formal quality metrics. The data is organized as source text with corresponding attribute fields for extraction testing; actual size, file format, and delivery contents depend on the released version.

How can I obtain the data, and what are the license terms?: Please refer to the product page or delivery agreement for availability and license terms. Check the applicable permissions before use and ensure that research, evaluation, or commercial activities comply with them.

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Cite this Work

@dataset{Mobiusi2026,
  title={Banana Pest and Disease Attribute Extraction Evaluation Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/e0e67d1a698e8e47e0bbee12df928fb8},
  urldate={2026-10-09},
  keywords={banana pest dataset, banana disease data, attribute extraction, agricultural text dataset, pest identification, disease evaluation, model benchmark, banana production},
  version={1.0}
}

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