Coastal Inundation Risk Counterfactual Question-Answering Dataset

#counterfactual reasoning #scenario comparison #inundation risk assessment #coastal inundation risk assessment #sea-level rise impact analysis #coastal flood risk management

5000
0.5GB
JSON
CATL
MOBIUSI INC

Updated:2026-10-25

AI Analysis & Value Prop

This dataset presents counterfactual questions about coastal locations, terrain, and baseline risk information, exploring how changes in relative sea level or other risk conditions may affect inundation depth, extent, frequency, and related hazards. By pairing baseline and counterfactual outcomes with explanations, it provides structured examples for sea-level rise risk analysis, causal comparison, and reasoning model training.

Dataset Insights

Sample Examples

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Technical Specifications

Field	Type	Description
file_name	string	File name
question	string	Question asking how inundation depth, extent, frequency, or related risk would change under the counterfactual conditions.
reasoning	string	Causal explanation based on the location, terrain, baseline risk information, and counterfactual assumption.
baseline_outcome	string	Answer describing the inundation risk state in the baseline scenario.
coastal_location	string	Name of the coastal location or region addressed by the question.
risk_change_summary	string	Summary of the direction and magnitude of risk change in the counterfactual scenario compared with the baseline.
terrain_description	string	Description of local terrain features and their relevance to coastal inundation.
counterfactual_outcome	string	Answer describing the inundation risk state under the counterfactual assumption.
baseline_risk_information	string	Inundation depth, extent, frequency, or other risk information for the baseline scenario.
counterfactual_assumption	string	A change to sea level, terrain, or another risk-related condition relative to the baseline scenario.
baseline_relative_sea_level_m	number	Relative sea-level value specified for the baseline scenario, in meters.

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?: Samples describe coastal locations, terrain, baseline risk information, and relative sea-level conditions. They ask about changes under modified assumptions and provide baseline outcomes, counterfactual outcomes, risk-change summaries, and reasoning.

Does the dataset specify a fixed geographic scope or size?: The available schema does not specify the sample count or geographic coverage. Check the specific data package for its sample inventory, location distribution, and field completeness.

What can the dataset be used for?: It can support counterfactual question answering, causal reasoning, and coastal inundation risk analysis, as well as training or evaluation examples for climate adaptation planning and risk communication models. Specific conclusions should still be validated against reliable terrain, sea-level, and risk data.

How can the data be obtained, and what are the licensing terms?: Access methods, license scope, and commercial-use conditions depend on the provider and the specific data package. Review its license terms, source information, and citation requirements before use or redistribution.

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Cite this Work

@dataset{Mobiusi2026,
  title={Coastal Inundation Risk Counterfactual Question-Answering Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/3cce35a84c7c50035d02c3cc00aef9e2},
  urldate={2026-10-19},
  keywords={coastal inundation risk,sea-level rise,counterfactual QA dataset,causal reasoning data,coastal flood analysis,inundation depth prediction,risk change assessment,reasoning SFT data},
  version={1.0}
}

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