Giant Freshwater Prawn Pond Water Quality Causal Reasoning Dataset

#causal reasoning #water quality analysis #evidence-based decision making #freshwater prawn aquaculture #pond water quality management #aquatic animal health assessment

5000
0.4GB
JSON
CATL
MOBIUSI INC

Updated:2026-10-19

AI Analysis & Value Prop

Focused on giant freshwater prawn pond aquaculture, this question-answer dataset covers dissolved oxygen, ammonia nitrogen, pH, temperature, feeding, and aeration management. Samples ask models to analyze how farming conditions affect water quality and prawn condition, distinguishing likely direct causes, contributing factors, and accompanying observations. It supports causal reasoning supervised fine-tuning, as well as training and evaluation of context-based explanations and management judgments.

Dataset Insights

Sample Examples

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Technical Specifications

Field	Type	Description
file_name	string	File name
likely_causes	string	Lists and explains the factors most likely to cause the reported water quality or prawn condition changes, distinguishing direct causes from contributing factors.
question_context	string	The original input, including pond dissolved oxygen, ammonia nitrogen, pH, temperature, feeding, aeration management, and the question to answer.
uncertainty_notes	string	Identifies missing information, alternative explanations, and indicators that may require further monitoring or verification.
causal_explanation	string	Explains how aquaculture conditions cause or affect water quality changes and giant freshwater prawn condition, describing the main causal relationships.
management_judgment	string	Uses the causal analysis to provide judgments and recommendations for feeding, aeration, or other aquaculture management measures.
accompanying_observations	string	Describes water quality indicators, prawn behavior or condition, and farming observations that occur alongside the issue but cannot be assumed to cause it directly.

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 aquaculture information does the dataset cover?: It focuses on giant freshwater prawn pond scenarios involving dissolved oxygen, ammonia nitrogen, pH, temperature, feeding, and aeration management. Samples ask how these conditions relate to water quality changes and prawn condition.

Which training and evaluation tasks does it support?: The data can support causal reasoning supervised fine-tuning, aquaculture question answering, water quality change analysis, cause identification, and management recommendation generation. It can also help evaluate whether a model distinguishes likely causes from observations that merely occur alongside an issue.

What are the dataset size and quality specifications?: The information provided does not specify the sample count, file format, or quality review standards. Before purchase or integration, check the product listing for detailed specifications and confirm coverage, field formats, and acceptance criteria.

How can I obtain the data, and what are the licensing terms?: The delivery method and license scope are subject to the terms provided on the product page or by the seller. If they are not stated, confirm the delivery method, commercial use rights, and redistribution restrictions before use.

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Cite this Work

@dataset{Mobiusi2026,
  title={Giant Freshwater Prawn Pond Water Quality Causal Reasoning Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/6594cab1c752170609247b08cb13e7bb},
  urldate={2026-10-17},
  keywords={giant freshwater prawn dataset,pond water quality data,aquaculture question answering,water quality causal reasoning,dissolved oxygen analysis,ammonia nitrogen management,aquaculture reasoning training,aquaculture AI training data},
  version={1.0}
}

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