Swimming Crab Disease and Mortality Causal Diagnosis Q&A Dataset
#Causal reasoning #Differential diagnosis #Diagnostic evidence planning #Reasoning SFT #Swimming crab farming #Aquatic disease diagnosis #Farming mortality analysis #Water quality management
- 3765
- 0.5GB
- JSON
- CATL
MOBIUSI INC
Updated:2026-11-04
AI Analysis & Value Prop
This dataset focuses on disease and mortality cases in swimming crab aquaculture, covering text-based evidence such as symptoms, farming and management history, water quality conditions, and test results. Its question-and-answer records address plausible causes and causal chains, competing explanations, evidence that could distinguish among causes, and limitations arising from missing information or uncertainty. It supports aquaculture disease reasoning, diagnostic analysis, and causal reasoning evaluation.
Dataset Insights
Sample Examples
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Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| symptoms | string | Source text describing observed symptoms, affected animals, timing, severity, and distribution. |
| causal_chain | string | An explanation of the plausible sequence linking initiating factors, intermediate processes, and observed disease or mortality outcomes. |
| test_results | string | Source text describing laboratory, pathogen, or other diagnostic test results, including relevant sampling context when available. |
| causal_caveat | string | Notes on limitations, missing information, and observations that may be associated with the event without being established causes. |
| causal_diagnosis | string | A reasoned assessment of the most plausible cause or causes, with uncertainty stated and conclusions grounded in the source evidence. |
| management_history | string | Source text describing relevant stocking, feeding, handling, treatment, and other farming or management practices. |
| diagnostic_question | string | The original question asking about the disease or mortality event, its possible causes, or evidence needed to assess them. |
| discriminating_evidence | string | Additional observations, measurements, sampling, or tests that could help differentiate the leading causal explanations. |
| alternative_explanations | string | Plausible competing causes or combinations of causes, with a brief explanation of how each fits or conflicts with the evidence. |
| water_quality_information | string | Source text or reported measurements describing water quality conditions and their timing in relation to the case. |
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 covers disease and mortality cases in swimming crab aquaculture, including symptoms, farming and management history, water quality information, test results, and diagnostic questions. Records also provide causal assessments, proposed causal chains, alternative explanations, and evidence that could help distinguish among causes.
- How does the dataset address causal uncertainty?
- Answers use the evidence provided in each case to discuss plausible causes while noting competing explanations, information gaps, and observations or tests that may be needed. They distinguish associated observations from established causes; conclusions should not be treated as definitive diagnoses of specific farming events.
- Which training and evaluation tasks does it support?
- The data can support reasoning SFT, causal analysis of swimming crab disease and mortality events, differential diagnosis, diagnostic evidence planning, and evaluation of whether a model can combine multiple text-based clues while communicating uncertainty.
- How can I obtain the dataset, and what are the licensing terms?
- Check the dataset product page or the publisher's distribution channel for access instructions, available formats, and licensing terms. Before use, review the permitted scope, redistribution restrictions, and commercial-use conditions; this dataset description does not grant additional rights.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2026,
title={Swimming Crab Disease and Mortality Causal Diagnosis Q&A Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/c168c87c8794a20b3fa51754029d0d6f?dataset_scene_id=5},
urldate={2026-10-26},
keywords={swimming crab disease dataset,swimming crab aquaculture disease,aquatic disease causal reasoning,crab mortality diagnosis,aquaculture diagnostic Q&A,water quality disease analysis,aquaculture reasoning SFT,differential diagnosis data},
version={1.0}
}Using this in research? Please cite us.
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