Giant Freshwater Prawn Health and Mortality Event Causal Reasoning Dataset

#causal reasoning #mortality event diagnosis #evidence gap identification #freshwater prawn aquaculture #aquatic animal health monitoring #aquaculture mortality investigation

Records: 5000
Size: 0.4GB
Format: JSON
Provider: MOBIUSI INC
Updated: v1.02026-11-05

AI Analysis & Value Prop

This question-answer text dataset covers abnormal, disease, and mortality events in giant freshwater prawn aquaculture, with scenarios that include clues about pathogens, water quality stress, husbandry changes, and transmission conditions. Samples guide models to propose candidate causes, trace plausible causal chains, and identify information that is still missing. The data supports training and evaluating careful, explainable causal analysis of giant freshwater prawn health issues.

Overview

Dataset Insights

Preview

Sample Examples

sample.json

{}

Schema

Technical Specifications

Field	Type	Description
file_name	string	File name
causal_chain	array	A sequence of proposed links from potential triggers to health abnormalities or mortality, distinguishing known information from inferred steps.
case_question	string	The input scenario describing an abnormal, disease, or mortality event in aquaculture and the question to be answered.
candidate_causes	array	Possible causes suggested by the scenario, which may include pathogens, water quality stress, husbandry changes, and transmission conditions.
missing_evidence	array	Observations, test results, or records not provided in the scenario that would help assess or distinguish candidate causes.
cautious_assessment	string	A conditional assessment based on available information, stating the leading possibilities, uncertainties, and reasons to avoid over-attribution.

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 does the dataset contain?: It consists mainly of question-answer scenarios about abnormal, disease, or mortality events in giant freshwater prawn aquaculture. Topics include pathogens, water quality stress, husbandry changes, and transmission conditions, with fields for candidate causes, plausible causal chains, missing evidence, and cautious assessments.

Which training or evaluation tasks does it support?: The data can support supervised fine-tuning and evaluation of causal reasoning models, particularly for analyzing candidate causes, constructing causal chains, expressing uncertainty, and identifying evidence gaps. It can also be used to test reasoning in aquaculture question-answering systems.

What schema and quality information are available?: The schema includes the event scenario and question, candidate causes, a proposed causal chain, missing evidence, and a cautious assessment. The information provided does not specify sample count, file format, or independent quality evaluation results; verify these details against the delivery information.

How can the data be obtained, and what are the licensing terms?: Check the product listing or contact the data provider for availability, delivery formats, and licensing terms. Confirm that the relevant permissions cover commercial training, redistribution, or public release before using the data for those purposes.

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Cite this Work

@dataset{Mobiusi2026,
  title={Giant Freshwater Prawn Health and Mortality Event Causal Reasoning Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/e5cbe6e116eb8e1880a95071e467a958?dataset_scene_cate_type=8},
  urldate={2026-10-17},
  keywords={giant freshwater prawn dataset,aquaculture data,prawn health analysis,shrimp disease analysis,aquaculture mortality causes,causal reasoning Q&amp;A,water quality stress analysis,reasoning SFT data},
  version={1.0}
}

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Task