Virtual Lab Safety Constraint Information Extraction Dataset
- Records
- 4410
- Size
- 0.4GB
- Format
- JSON
- Provider
MOBIUSI INC- Updated
- v1.02026-11-04
This dataset pairs virtual laboratory safety text with structured safety constraint annotations. Source content covers safety notices, prohibited actions, personal protective equipment requirements, risk conditions, and response instructions; extracted information may include hazards, triggering conditions, risk types, protective measures, prohibited behaviors, and response steps. It supports training models to identify safety rules in laboratory text and produce JSON outputs, with applications in virtual lab instruction, safety content review, and structured processing of laboratory procedures.
Overview
Dataset Insights
Preview
Sample Examples
Schema
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| source_text | string | Original text containing virtual lab safety notices, operating requirements, risk explanations, and response methods. |
| safety_rules | array | One or more structured safety constraint rules extracted from the source experiment text. |
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?
- It includes source text about virtual lab safety notices, procedure requirements, risks, and response methods, paired with extracted safety constraint rules. The rules may cover hazards, triggering conditions, risk types, protective measures, prohibited behaviors, and response steps.
- What is the data structure?
- Each record contains a source experiment text field and a safety rules field. The extracted rules are stored as an array, making the data suitable for training or evaluating JSON structured output. Refer to the annotations for the specific rule content in each sample.
- How can I access and use the data?
- Check the dataset product page for available download or access methods and format instructions. For model training, use the source text as input and the extracted safety rules as the target output.
- What are the licensing terms and intended uses?
- Refer to the product page or the license terms provided with the data for usage restrictions and commercial permissions. Suitable applications include virtual lab safety education, rule extraction from experiment text, structured output fine-tuning, and related evaluation.
Can't find the data you need?
Post a request and let data providers reach out to you.
Get this Dataset
High-quality data, ready for your next AI breakthrough.
Cite this Work
@dataset{Mobiusi2026,
title={Virtual Lab Safety Constraint Information Extraction Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/fa08181ac68f9fd4afda590a4e79b112?dataset_scene_cate_type=2},
urldate={2026-10-27},
keywords={virtual lab dataset,lab safety information extraction,safety constraint extraction,lab risk identification,structured safety rules,JSON information extraction,lab text understanding,structured output training},
version={1.0}
}Using this in research? Please cite us.