MOBIUSI INCDesigned for virtual laboratory scenarios, this dataset contains text describing measurement records, observed phenomena, and result summaries, with structured annotations for measured objects, values, units, methods, experimental conditions, and result status. Its JSON representation supports training models to extract information from experimental descriptions and produce consistent records. Typical uses include virtual lab education, experimental result analysis, and research data structuring.
Overview
Preview
Schema
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| source_text | string | Original text containing a virtual experiment measurement record, observation description, or result summary. |
| observations | array | Phenomena observed during the experiment and the conditions under which they occurred, extracted from the description. |
| result_status | string | Overall status of the experimental result, such as successful, failed, abnormal, as expected, or uncertain. |
| result_summary | string | A concise synthesis of the experimental measurements, observations, and conclusions. |
| measurement_records | array | One or more measured objects, values, units, and measurement methods extracted from the experimental description. |
| experimental_conditions | array | Conditions involved in the experiment, such as temperature, time, pressure, reagent quantities, environment, or operating procedures. |
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
FAQ
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@dataset{Mobiusi2026,
title={Experimental Measurement and Observation Result Information Extraction Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/d359872ecdcbc79ac2aa8e13e79bce67?dataset_task_cate_id=9},
urldate={2026-10-27},
keywords={experimental information extraction dataset,virtual lab data,experimental measurement records,observation recognition,experimental condition extraction,result status classification,structured JSON data,experimental result summaries},
version={1.0}
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