Ship Weight and Center of Gravity Calculation Verification Dataset

#numerical calculation verification #center of gravity calculation #correctness classification #ship stability assessment #vessel weight management #marine engineering calculations
Records
5000
Size
0.3GB
Format
JSON
Provider
MOBIUSI INCMOBIUSI INC
Updated
v1.02026-11-04
AI Analysis & Value Prop

Designed for commercial ship design and construction, this dataset provides weight-item inputs organized by equipment, structure, and other categories, together with calculated totals, moments, and center-of-gravity positions. The JSON samples include reference results, calculation tolerances, and correctness labels to train and evaluate verifiers for weight estimates, moment aggregation, and center-of-gravity calculations. Typical uses include checking ship design calculations, developing result-validation workflows, and training related models.

Overview

Dataset Insights

Preview

Sample Examples

sample.json
{}

Schema

Technical Specifications

file_namestringFile name
weight_itemsarrayInput details for equipment, structural, and other items included in the vessel weight estimate.
vessel_contextobjectBackground information for the vessel and weight estimate, such as the coordinate system and design stage.
reference_resultsobjectBaseline aggregate values, calculation tolerances, and correctness labels provided for comparison during verification.
calculated_resultsobjectTotal weight, total moments in each direction, and center-of-gravity positions calculated from the weight items.
validation_resultsobjectErrors and validation conclusions produced by comparing calculated summary results with reference results and tolerances.

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 calculations does the dataset cover?
The dataset focuses on commercial ship weight estimates. It includes equipment, structural, and other weight items, along with calculated total weight, moments in each direction, and center-of-gravity positions. Reference results, tolerances, and correctness labels support comparison and verification.
What format is used, and how can calculation quality be checked?
Samples are organized as JSON with fields for vessel and calculation context, weight items, reference results, calculated summaries, and validation outcomes. Baseline values, tolerances, and correctness labels can be used to check calculation errors and validation conclusions; interpret accuracy according to the tolerance specified in each sample.
What are suitable use cases?
Use the data to train or evaluate outcome verifiers, develop ship weight calculation checks, and test logic for weight estimation, moment aggregation, and center-of-gravity calculations. It can also support automated verification and model evaluation for commercial ship design.
How can the data be obtained, and what are the licensing terms?
Refer to the product page or delivery platform for availability and access instructions. Review the applicable license before use to confirm permitted training, evaluation, commercial use, and redistribution. The dataset description does not imply a specific license.

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Cite this Work

@dataset{Mobiusi2026,
  title={Ship Weight and Center of Gravity Calculation Verification Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/282b36725105bd25e440faefcb4a1687?dataset_scene_id=1},
  urldate={2026-10-12},
  keywords={ship weight calculation, ship center of gravity, weight estimate verification, ship moment aggregation, commercial ship design data, calculation verification dataset, JSON training data, outcome verifier training},
  version={1.0}
}

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