Virtual Physics Experiment Result Fact Verification Dataset
- Records
- 5000
- Size
- 0.4GB
- Format
- JSON
- Provider
MOBIUSI INC- Updated
- v1.02026-11-04
This dataset covers virtual experiments in mechanics, electricity, optics, and thermodynamics, with structured JSON records of experiment setups, operation events, sensor readings, calculation steps, and result claims to be verified. Truth verdicts, confidence scores, and verification explanations support testing whether models can judge claims using experimental settings, physical laws, and simulation evidence. It is suitable for training, evaluating, and analyzing fact verification models.
Overview
Dataset Insights
Preview
Sample Examples
Schema
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| confidence | number | The confidence score for the judgment, calculated from data completeness, error magnitude, and the degree of agreement with physical laws; values range from zero to one. |
| result_claim | object | The experiment result statement to be verified and its claimed value. |
| truth_verdict | boolean | A true or false judgment of the result claim based on physical laws, simulation readings, and error thresholds. |
| sensor_readings | array | Raw measurements collected by simulated sensors during the experiment. |
| experiment_setup | object | The virtual experiment domain, name, and initial parameters, provided as input for fact verification. |
| operation_events | array | User or system events recorded in chronological order during the virtual experiment. |
| calculation_process | object | Physical calculations and intermediate results derived from the experiment setup, operation events, and sensor readings. |
| verification_explanation | string | An explanation of why the result claim was judged true or false, identifying the key physical principles and reading evidence used. |
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 experiments does the dataset cover?
- It covers virtual experiments in mechanics, electricity, optics, and thermodynamics. Records include experiment setups, operation events, sensor readings, calculation steps, and result claims, along with truth verdicts, confidence scores, and verification explanations.
- Which model tasks can the data support?
- The data supports fact verification and claim truth classification, as well as evidence reasoning based on experimental parameters, simulation readings, and physical laws, confidence estimation, and model evaluation.
- How can data quality and verdict evidence be reviewed?
- Records include experiment inputs, measurements, calculation steps, and verification explanations, making it possible to trace the key physical principles and evidence behind a verdict. Refer to the data package documentation for the actual dataset size, error thresholds, and quality criteria.
- How can I obtain the data, and what are the license terms?
- Check the product page or the provider's published channels for access instructions, available formats, and license terms. Review the applicable license before use and confirm that it permits your intended research, educational, or commercial use.
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Cite this Work
@dataset{Mobiusi2026,
title={Virtual Physics Experiment Result Fact Verification Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/3bdf1399a147e0862857c282a482f132?dataset_task_cate_id=2},
urldate={2026-10-15},
keywords={virtual physics experiment dataset,experiment result fact verification,physics fact checking,virtual lab data,sensor reading verification,physics reasoning data,fact verification model training,science education dataset},
version={1.0}
}Using this in research? Please cite us.