Coastal Inundation Risk Counterfactual Question-Answering Dataset
- Records
- 5000
- Size
- 0.5GB
- Format
- JSON
- Provider
MOBIUSI INC- Updated
- v1.02026-11-04
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.
Overview
Dataset Insights
Preview
Sample Examples
Schema
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. |
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?
- 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?dataset_scene_id=11},
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}
}Using this in research? Please cite us.