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Home/Extraction/Virtual Laboratory Experiment Protocol Information Extraction Dataset

Virtual Laboratory Experiment Protocol Information Extraction Dataset

#Information Extraction #Structured Generation #Instruction Fine-Tuning #Semantic Understanding Evaluation #Virtual Lab Education #Experiment Workflow Digitization #Protocol Management #Experimental Content Structuring

5200
0.5GB
JSON
CATL
MOBIUSI INC

Updated:2026-11-03

AI Analysis & Value Prop

Focused on virtual laboratory protocols, this dataset covers experiment instructions, procedures, reagents, equipment, and operating conditions, structuring source text as JSON with fields such as objectives, steps, parameters, expected observations, and safety requirements. It supports training models to understand protocol semantics and reliably extract key information, as well as digitizing experimental content, powering virtual experiment workflows, and evaluating structured output capabilities.

Dataset Insights

Sample Examples

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Technical Specifications

Field	Type	Description
file_name	string	File name
steps	array	Experiment operations arranged in execution order, including operating parameters and expected phenomena for each step.
reagents	array	Chemical reagents, samples, or solutions used in the experiment, including their quantities and purposes.
equipment	array	Instruments, devices, containers, or auxiliary tools required for the experiment.
source_text	string	The original virtual laboratory experiment instructions, procedures, and operating requirements to be parsed.
experiment_title	string	The experiment name stated in the protocol or inferred from its content.
global_conditions	object	Environmental, timing, and operating conditions that apply to the entire experiment or multiple steps.
procedure_summary	string	A concise summary of the protocol based on the experiment title, objective, key reagents, main steps, and expected results.
safety_requirements	array	Protective measures, waste handling instructions, and risk controls specified in the protocol.
experiment_objective	string	The goal to verify, measure, prepare, or observe in the experiment.
expected_observations	array	Phenomena or results expected during or after the experiment, with links to the relevant steps.

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

Frequently Asked Questions

What information does the dataset contain?: Based on experiment protocol source text, records organize information such as experiment title, objective, reagents, equipment, ordered steps, overall conditions, expected observations, safety requirements, and a protocol summary. The details available in each record depend on the source text.

Which training and evaluation tasks does it support?: The data can support protocol understanding, entity and information extraction, JSON generation, and structured-output instruction fine-tuning. It can also be used to evaluate whether a model can convert natural-language experiment instructions into data suitable for virtual laboratory workflows.

What are the dataset size and quality specifications?: Protocol information is organized under a consistent set of fields to facilitate parsing, training, and evaluation, while field details depend on the source material. The current product information does not specify a sample count or quality metrics, so please consult the dataset details and samples for confirmation.

How can I obtain the data, and what license applies?: Check the product page for available formats, access options, and licensing terms. Before use, confirm that the license covers your intended training, evaluation, deployment, or redistribution activities; this description does not guarantee a particular license scope.

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Cite this Work

@dataset{Mobiusi2026,
  title={Virtual Laboratory Experiment Protocol Information Extraction Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/ef3672f6af596cf4a93cad2c9d877d6d?dataset_task_cate_id=9},
  urldate={2026-10-27},
  keywords={virtual laboratory dataset,experiment protocol extraction,structured experiment steps,reagent identification,equipment extraction,experimental condition extraction,structured output SFT,experiment workflow data},
  version={1.0}
}

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