MOBIUSI INCStructured in JSON, the dataset records ground coffee processing batch inputs, post-grinding outputs, and any recorded screening or loss data, alongside yield, loss-rate, and mass-balance calculations for verification. Reference results and verification evidence support checks for calculation errors, unit handling, and batch material-balance consistency, serving production accounting and outcome-verifier training.
Overview
Preview
Schema
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| batch_data | object | Recorded batch measurements, submitted calculations, and comparison tolerances supplied for verification. |
| verification_results | object | Normalized reference values, expected calculations, comparisons, and the overall verification outcome derived from the raw batch data. |
Trust
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
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@dataset{Mobiusi2026,
title={Ground Coffee Processing Quality and Mass-Balance Calculation Verification Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/bec2db4110eff79ca35df25179c79118?dataset_task_cate_id=1},
urldate={2026-10-22},
keywords={ground coffee dataset,coffee processing accounting,mass balance verification,yield calculation validation,loss rate validation,batch production data,calculation verifier,coffee quality control},
version={1.0}
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