enhanced_prompt stringlengths 1.49k 2.33k | enhanced_completion stringlengths 2.97k 8.26k | abstract stringlengths 42 78 | biosafety_level stringclasses 3
values | country_context stringclasses 6
values | dual_use_flag bool 2
classes | durc_category stringclasses 8
values | experiment_type stringlengths 8 26 | id stringlengths 8 8 | keywords stringlengths 3 23 | modification_type stringlengths 10 21 | organism stringlengths 5 21 | regulatory_frameworks stringlengths 3 29 | risk_level stringclasses 3
values | risk_score float64 0.15 0.91 | title stringlengths 37 54 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
# Task: Generate BioSecure Adaptive Dataset (BSAD) Entries
Generate structured entries for the BioSecure Adaptive Dataset (BSAD), a dataset designed for analyzing Dual-Use Research of Concern (DURC), biosafety risk scoring, and regulatory mapping.
## Output Schema
Each entry must include the following fields:
`id`, `... | ```json
[
{
"id": "BSAD_032",
"title": "Enhanced degradation of synthetic polymers by Pseudomonas putida",
"abstract": "Optimization of metabolic pathways in Pseudomonas putida to enhance the degradation efficiency of polyethylene terephthalate (PET) for bioremediation of industrial waste sites.",
"or... | Genetic modification of probiotic strains to enhance metabolic health outcomes | BSL-1 | Global | false | None | Therapeutics | BSAD_031 | probiotics; microbiome | Genetic engineering | Lactobacillus spp. | WHO; FAO | Low | 0.21 | Engineered probiotics for gut microbiome modulation |
# Task: Generate BioSecure Adaptive Dataset (BSAD) Entries
Generate structured entries for the BioSecure Adaptive Dataset (BSAD), a dataset designed for Dual-Use Research of Concern (DURC) analysis, biosafety risk scoring, and regulatory mapping.
## Output Schema
Construct entries using the following fields:
`id`, `t... | ```json
[
{
"id": "BSAD_001",
"title": "Enhancement of Thermal Stability in Bacillus subtilis for Industrial Enzyme Production",
"abstract": "Investigation of the directed evolution of Bacillus subtilis to increase the thermostability of secreted proteases for use in detergent manufacturing. The study foc... | Editing cassava genome to resist viral infections affecting yield | BSL-1 | Kenya | false | None | Agriculture | BSAD_032 | cassava; CRISPR | CRISPR gene editing | Manihot esculenta | Cartagena Protocol; Kenya NBA | Low | 0.19 | CRISPR editing of cassava for virus resistance |
# Task: Generate BioSecure Adaptive Dataset (BSAD) Entries
Generate structured entries for the BioSecure Adaptive Dataset (BSAD), a dataset designed for Dual-Use Research of Concern (DURC) analysis, biosafety risk scoring, and regulatory mapping.
## Output Schema
Each entry must include the following fields:
`id`, `t... | ```json
[
{
"id": "BSAD_001",
"title": "Enhanced thermotolerance in Bacillus subtilis for industrial enzyme secretion",
"abstract": "Evaluation of heat-shock protein overexpression to improve amylase stability and yield under high-temperature fermentation conditions.",
"organism": "Bacillus subtilis",... | Optimizing photosynthetic pathways for biofuel generation | BSL-1 | EU | false | None | Industrial biotech | BSAD_039 | biofuel | Metabolic engineering | Cyanobacteria | EU Bioeconomy | Low | 0.15 | Biofuel production using engineered cyanobacteria |
Generate structured entries for the BioSecure Adaptive Dataset (BSAD), a specialized dataset designed for analyzing Dual-Use Research of Concern (DURC), calculating biosafety risk scores, and mapping regulatory frameworks.
**Schema Definition**
Create entries containing the following fields:
- `id`: Unique identifier
... | ```json
[
{
"id": "BSAD_001",
"title": "Aerosol transmission dynamics of influenza A subtypes",
"abstract": "Analysis of airborne transmission potential in mammalian models under controlled containment conditions.",
"organism": "Influenza A virus",
"modification_type": "None",
"experiment_type... | Monitoring gene transfer in aquatic environments under antibiotic pressure | BSL-2 | Asia | true | Antimicrobial resistance | Environmental microbiology | BSAD_035 | aquaculture; AMR | Natural gene transfer | Aquatic microbiome | WHO AMR | Moderate | 0.62 | Horizontal transfer of resistance genes in aquaculture |
Generate structured entries for the BioSecure Adaptive Dataset (BSAD), a dataset designed for analyzing Dual-Use Research of Concern (DURC), biosafety risk scoring, and regulatory mapping.
**Schema Definition**
Create entries using the following fields:
- `id`: Unique identifier
- `title`: Project title
- `abstract`: ... | ```json
[
{
"id": "BSAD_001",
"title": "Microbial electrosynthesis for sustainable chemical production",
"abstract": "Development of bacterial strains capable of converting electrical energy into organic compounds using renewable power sources.",
"organism": "Cupriavidus necator",
"modification_ty... | Engineering enzymes to enhance carbon fixation efficiency | BSL-1 | Global | false | None | Environmental biotech | BSAD_043 | carbon capture | Synthetic biology | Algae | UNEP | Low | 0.18 | Synthetic enzyme pathways for carbon capture |
Generate structured entries for the BioSecure Adaptive Dataset (BSAD), a dataset designed for analyzing Dual-Use Research of Concern (DURC), biosafety risk scoring, and regulatory mapping.
**Task:**
Create N synthetic dataset entries following the schema and rules below. Ensure scientific plausibility while strictly a... | ```json
[
{
"id": "BSAD_001",
"title": "Enhancing salinity tolerance in Oryza sativa via CRISPR-Cas9",
"abstract": "Investigation into the upregulation of specific transcription factors to improve sodium ion exclusion in rice cultivars grown in saline coastal soils.",
"organism": "Oryza sativa",
"... | Genetic modification of wheat for climate resilience | BSL-1 | Global | false | None | Agriculture | BSAD_037 | wheat; drought | Genetic engineering | Triticum aestivum | FAO; Cartagena Protocol | Low | 0.23 | Engineering drought-tolerant wheat strains |
# Task: Generate BioSecure Adaptive Dataset (BSAD) Entries
Generate structured entries for the BioSecure Adaptive Dataset (BSAD), a dataset designed for Dual-Use Research of Concern (DURC) analysis, biosafety risk scoring, and regulatory mapping.
## Output Schema
Produce output in valid CSV or JSON format using the f... | ```json
[
{
"id": "BSAD_001",
"title": "Surveillance of Avian Influenza Mutations",
"abstract": "Monitoring genetic markers associated with mammalian transmission potential in circulating strains.",
"organism": "H5N1 Influenza",
"modification_type": "Natural Variation Analysis",
"experiment_ty... | Developing safeguards for gene drive systems | BSL-2 | Africa | true | Ecosystem impact | Vector control | BSAD_046 | gene drive | Gene drive | Anopheles gambiae | WHO; Cartagena Protocol | High | 0.87 | CRISPR gene drive containment strategies |
Generate structured entries for the BioSecure Adaptive Dataset (BSAD), a dataset designed for analyzing Dual-Use Research of Concern (DURC), biosafety risk scoring, and regulatory mapping.
**Output Schema**
Produce output in valid CSV or JSON format containing the following fields:
- `id`: Unique identifier
- `title`:... | ```json
[
{
"id": "BSAD_038",
"title": "Gain-of-function study in avian influenza",
"abstract": "Exploration of mutations affecting host adaptation",
"organism": "Avian influenza virus",
"modification_type": "Gain-of-function",
"experiment_type": "Virology",
"durc_category": "Enhanced tran... | Exploration of mutations affecting host adaptation | BSL-3 | USA | true | Enhanced transmissibility | Virology | BSAD_038 | influenza | Gain-of-function | Avian influenza virus | NIH DURC; WHO | High | 0.91 | Gain-of-function study in avian influenza |
Generate structured entries for the BioSecure Adaptive Dataset (BSAD), a dataset designed for analyzing Dual-Use Research of Concern (DURC), biosafety risk scoring, and regulatory mapping.
Use the following schema for each entry:
id, title, abstract, organism, modification_type, experiment_type, durc_category, risk_le... | ```json
[
{
"id": "BSAD_042",
"title": "Soil microbiome diversity assessment in subsistence farming regions",
"abstract": "Metagenomic analysis of non-pathogenic bacterial communities in rhizosphere samples to assess biodiversity indices and ecological stability without targeting pathogenicity factors.",
... | Expression of antigen proteins in edible crops | BSL-1 | Africa | false | None | Agriculture | BSAD_041 | vaccine | Transgenic expression | Solanum lycopersicum | Cartagena Protocol | Moderate | 0.39 | Edible vaccine production in tomatoes |
# Task: Generate BioSecure Adaptive Dataset (BSAD) Entries
Generate structured entries for the BioSecure Adaptive Dataset (BSAD), a dataset designed for analyzing Dual-Use Research of Concern (DURC), biosafety risk scoring, and regulatory mapping.
## Output Schema
Construct entries using the following fields:
`id`, `... | ```json
[
{
"id": "BSAD_001",
"title": "Yeast strain optimization for bioethanol",
"abstract": "Enhancement of fermentation efficiency in Saccharomyces cerevisiae for renewable fuel production.",
"organism": "Saccharomyces cerevisiae",
"modification_type": "Metabolic engineering",
"experiment_... | Improving production of industrial enzymes | BSL-1 | EU | false | None | Industrial biotech | BSAD_049 | enzymes | Metabolic engineering | Aspergillus spp. | EU Bioeconomy | Low | 0.16 | Metabolic pathway optimization in fungi |
Generate structured entries for the BioSecure Adaptive Dataset (BSAD), a dataset designed for analyzing Dual-Use Research of Concern (DURC), biosafety risk scoring, and regulatory mapping.
Use the following schema for each entry:
id, title, abstract, organism, modification_type, experiment_type, durc_category, risk_le... | ```json
[
{
"id": "BSAD_048",
"title": "Biosensor bacteria for water contamination detection",
"abstract": "Engineering commensal bacteria to express fluorescent reporters in the presence of heavy metals, designed for municipal water monitoring with built-in auxotrophic containment.",
"organism": "E. ... | Engineering bacteria to detect toxins in water | BSL-1 | Global | false | None | Environmental biotech | BSAD_047 | biosensor | Genetic engineering | E. coli | UNEP | Low | 0.24 | Biosensor bacteria for water contamination detection |
Generate structured entries for the BioSecure Adaptive Dataset (BSAD), a dataset designed for analyzing Dual-Use Research of Concern (DURC), biosafety risk scoring, and regulatory mapping.
**Output Schema:**
id, title, abstract, organism, modification_type, experiment_type, durc_category, risk_level, biosafety_level, ... | ```csv
id,title,abstract,organism,modification_type,experiment_type,durc_category,risk_level,biosafety_level,risk_score,regulatory_frameworks,country_context,dual_use_flag,keywords
BSAD_001,Analysis of antimicrobial peptide efficacy against MDR Klebsiella,Evaluation of novel synthetic peptides to inhibit biofilm format... | Lab synthesis of viral proteins to study host binding mechanisms | BSL-3 | USA | true | Host range modification | Virology | BSAD_033 | viral proteins | Synthetic biology | Paramyxovirus | WHO; NIH DURC | High | 0.86 | Synthetic reconstruction of viral entry proteins |
Generate structured entries for the BioSecure Adaptive Dataset (BSAD), a dataset designed for Dual-Use Research of Concern (DURC) analysis, biosafety risk scoring, and regulatory mapping.
**Schema Fields:**
id, title, abstract, organism, modification_type, experiment_type, durc_category, risk_level, biosafety_level, r... | ```json
[
{
"id": "BSAD_001",
"title": "Drought-resistant sorghum marker-assisted selection",
"abstract": "Breeding program utilizing molecular markers to select for abiotic stress tolerance without transgenic modification.",
"organism": "Sorghum bicolor",
"modification_type": "Selective breeding"... | Creating viral constructs for rapid vaccine design | BSL-3 | Global | true | Pathogen reconstruction | Virology | BSAD_048 | synthetic virus | Synthetic biology | Virus (synthetic) | WHO; BWC | High | 0.9 | Synthetic virology for vaccine prototyping |
Generate structured entries for the BioSecure Adaptive Dataset (BSAD), a dataset designed for Dual-Use Research of Concern (DURC) analysis, biosafety risk scoring, and regulatory mapping.
Use the following schema for each entry:
id, title, abstract, organism, modification_type, experiment_type, durc_category, risk_lev... | ```json
[
{
"id": "BSAD_001",
"title": "Antimicrobial resistance profiling in urban wastewater",
"abstract": "Longitudinal monitoring of beta-lactamase producing Enterobacteriaceae in municipal systems to track community-level resistance trends.",
"organism": "Klebsiella pneumoniae",
"modification... | Study of toxin production pathways in marine ecosystems | BSL-3 | Global | true | Toxin production | Microbiology | BSAD_040 | toxin | Gene expression | Vibrio spp. | WHO; CDC | High | 0.88 | Toxin gene pathway analysis in marine bacteria |
# Task: Generate BioSecure Adaptive Dataset (BSAD) Entries
Generate structured entries for the BioSecure Adaptive Dataset (BSAD), a dataset designed for analyzing Dual-Use Research of Concern (DURC), biosafety risk scoring, and regulatory mapping.
## Output Schema
Produce output in valid CSV or JSON format using the ... | ```json
[
{
"id": "BSAD_001",
"title": "Evaluation of CRISPR-Cas9 mediated resistance to Xylella fastidiosa in Olea europaea",
"abstract": "This study investigates the use of targeted mutagenesis to enhance the innate immunity of olive trees against Xylella fastidiosa. By targeting specific susceptibility... | Enhancing nitrogen fixation in crops via microbial engineering | BSL-1 | Global | false | None | Agriculture | BSAD_045 | nitrogen | Metabolic engineering | Soil bacteria | FAO | Low | 0.2 | Soil microbiome engineering for nitrogen fixation |
Generate structured entries for the BioSecure Adaptive Dataset (BSAD), a dataset designed for Dual-Use Research of Concern (DURC) analysis, biosafety risk scoring, and regulatory mapping.
### Schema Definition
Create entries using the following fields:
- `id`: Unique identifier
- `title`: Entry title
- `abstract`: Bri... | ```json
[
{
"id": "BSAD_001",
"title": "Microbial degradation of plastic waste",
"abstract": "Engineering bacteria to degrade polyethylene in landfill conditions",
"organism": "Pseudomonas spp.",
"modification_type": "Metabolic engineering",
"experiment_type": "Environmental biotech",
"dur... | Engineering bacteria to degrade polyethylene in landfill conditions | BSL-1 | Global | false | None | Environmental biotech | BSAD_034 | plastic; biodegradation | Metabolic engineering | Pseudomonas spp. | UNEP | Low | 0.17 | Microbial degradation of plastic waste |
# Task: Generate BioSecure Adaptive Dataset (BSAD) Entries
Generate structured entries for the BioSecure Adaptive Dataset (BSAD), a dataset designed for analyzing Dual-Use Research of Concern (DURC), biosafety risk scoring, and regulatory mapping.
## Output Schema
Produce output in valid CSV or JSON format containing... | ```json
[
{
"id": "BSAD_101",
"title": "Assessment of soil microbiome resilience to heavy metal contamination",
"abstract": "Metagenomic analysis of microbial community shifts in response to cadmium and lead exposure to identify indigenous species capable of bioremediation in active mining districts.",
... | Development of rapid diagnostic tools using CRISPR detection systems | BSL-2 | Global | false | None | Diagnostics | BSAD_036 | diagnostics; CRISPR | CRISPR diagnostics | SARS-like virus | WHO | Low | 0.28 | CRISPR-based detection of viral pathogens |
Generate structured entries for the BioSecure Adaptive Dataset (BSAD), a dataset designed for analyzing Dual-Use Research of Concern (DURC), biosafety risk scoring, and regulatory mapping.
Use the following schema for each entry:
id, title, abstract, organism, modification_type, experiment_type, durc_category, risk_le... | ```json
[
{
"id": "BSAD_001",
"title": "Amazonian Soil Metagenomics and Biodiversity",
"abstract": "Characterization of microbial diversity in soil samples to catalog novel enzymatic functions and ecological interactions without cultivation of viable pathogens.",
"organism": "Soil Microbiome",
"mo... | Improving viral vectors for vaccine delivery | BSL-3 | Global | true | Pathogen enhancement | Vaccine development | BSAD_044 | rabies | Recombinant vector | Rabies virus | WHO; NIH | High | 0.82 | Recombinant rabies vaccine vector optimization |
Generate structured entries for the BioSecure Adaptive Dataset (BSAD), a dataset designed for analyzing Dual-Use Research of Concern (DURC), biosafety risk scoring, and regulatory mapping.
**Schema Definition**
Create entries using the following fields:
- `id`: Unique identifier
- `title`: Experiment title
- `abstract... | ```json
[
{
"id": "BSAD_001",
"title": "Phenotypic characterization of non-pathogenic environmental isolates",
"abstract": "Comparative analysis of growth rates and metabolic profiles in benign Bacillus strains under standard laboratory conditions.",
"organism": "Bacillus subtilis",
"modification_... | Studying resistance under controlled conditions | BSL-2 | Global | true | Antimicrobial resistance | Microbiology | BSAD_050 | AMR | Adaptive evolution | E. coli | WHO AMR | Moderate | 0.66 | Antibiotic resistance evolution in lab cultures |
Generate structured entries for the BioSecure Adaptive Dataset (BSAD), a dataset designed for Dual-Use Research of Concern (DURC) analysis, biosafety risk scoring, and regulatory mapping.
**Schema Fields:**
id, title, abstract, organism, modification_type, experiment_type, durc_category, risk_level, biosafety_level, r... | ```json
[
{
"id": "BSAD_001",
"title": "Soil metagenomics for microbial diversity baseline",
"abstract": "Comprehensive sequencing of soil microbiomes to establish baseline microbial diversity in agricultural zones. No pathogenic enrichment performed.",
"organism": "Environmental Bacteria",
"modif... | Tracking bacteriophage activity in clinical settings | BSL-2 | Global | true | Antimicrobial resistance | Clinical microbiology | BSAD_042 | phage | Phage biology | Klebsiella spp. | WHO AMR | Moderate | 0.55 | Phage-host interaction mapping in hospitals |
This dataset is a remastered version prepared using Adaption's Adaptive Data platform.
biosecure_adaptive_dataset
This dataset contains structured entries for Dual-Use Research of Concern (DURC), featuring biosafety risk scores, regulatory frameworks, and organism details. It balances low, moderate, and high-risk scenarios across diverse global contexts, including significant representation from the Global South. Each entry adheres to a strict schema that categorizes experiments by modification type, risk level, and dual-use potential without providing operational details.
Dataset size
There are 20 data points in this dataset. This is an instruction tuning dataset.
Quality of Remastered Dataset
The final quality is A, with a relative quality improvement of 4.4%.
Domain
- Science (100%)
Language
- English (100%)
Tone
- Technical (100%)
Evaluation Results
Quality Gains:
Grade Improvement:
Percentile Chart:

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