Datasets:

joduor
/

adaption-biosecure-adaptive-dataset-v2

enhanced_prompt stringclasses 2 values	enhanced_completion stringclasses 2 values	abstract stringclasses 2 values	biosafety_level stringclasses 2 values	country_context stringclasses 2 values	dual_use_flag bool 2 classes	durc_category stringclasses 2 values	experiment_type stringclasses 2 values	id stringclasses 2 values	modification_type stringclasses 2 values	organism stringclasses 2 values	regulatory_frameworks stringclasses 2 values	risk_level stringclasses 2 values	risk_score float64 0.12 0.92	title stringclasses 2 values
You are an expert analyst for the BioSecure Adaptive Dataset (BSAD), a globally adaptive system designed for Dual-Use Research of Concern (DURC) classification, biosafety risk scoring, and regulatory mapping. Your task is to parse the following raw data record and validate its components against standard biosafety an...	### BSAD Entry Validation Report: CRISPR-Mediated Gene Editing in Zea mays 1. Research Subject and Methodology The entry describes the application of CRISPR-Cas9 genome editing technology to introduce or enhance drought resistance traits in maize. The methodology involves precise nucleotide modifications within ...	CRISPR-Cas9 used to enhance drought resistance in maize.	BSL-1	Kenya	false	None	Agricultural biotechnology	BSAD_001	CRISPR gene editing	Zea mays	Cartagena Protocol; Kenya NBA	Low	0.12	CRISPR-mediated gene editing in maize for drought resistance
Analyze the following data entry from the BioSecure Adaptive Dataset (BSAD), a globally adaptive dataset designed for Dual-Use Research of Concern (DURC) classification, biosafety risk scoring, and regulatory mapping. Based on the provided fields, validate the consistency of the risk score, biosafety level (BSL), and...	The provided BioSecure Adaptive Dataset (BSAD) entry describes a gain-of-function (GoF) study involving Influenza A virus with mutations engineered to enhance transmissibility. An analysis of the consistency between the risk score, biosafety level (BSL), and regulatory references reveals critical discrepancies that nec...	Mutations introduced to enhance transmissibility.	BSL-3	USA	true	Enhanced transmissibility	Virology	BSAD_002	Gain-of-function	Influenza A virus	NIH DURC Policy; WHO	High	0.92	Gain-of-function mutations in influenza virus

This dataset is a remastered version prepared using Adaption's Adaptive Data platform.

biosecure_adaptive_dataset

This dataset provides globally adaptive classifications for Dual-Use Research of Concern (DURC), including biosafety risk scoring and regulatory mapping. Each entry details specific biological research scenarios, identifying the organism, methodology, risk level, required biosafety containment, and applicable international or national policies. The data supports risk assessment by linking scientific activities to their potential dual-use implications and regulatory frameworks across different countries.