enhanced_prompt stringlengths 586 930 | enhanced_completion stringlengths 3.78k 4.95k | abstract stringlengths 31 31 | biosafety_level stringclasses 1
value | country_context stringclasses 1
value | dual_use_flag bool 1
class | durc_category stringclasses 1
value | experiment_type stringclasses 1
value | id stringlengths 8 8 | keywords stringlengths 10 10 | modification_type stringclasses 1
value | organism stringlengths 12 12 | regulatory_frameworks stringclasses 1
value | risk_level stringclasses 1
value | risk_score float64 0.2 0.2 | title stringlengths 27 27 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Generate 20 synthetic dataset entries (IDs 111–130) for the BSAD (Biosafety and Antimicrobial Resistance Dataset). Focus on the intersection of public health, antimicrobial resistance (AMR), and environmental microbiology. Ensure the dataset includes at least 5 distinct AMR scenarios and maintains a balanced distributi... | ID,Entry_Label,Description,Organism,Modification_Type,Application,Containment_Measure,Risk_Level,Biosafety_Level,Probability_Score,Regulatory_Body,Scope,Dual_Use_Potential,Keywords
BSAD_111,Synthetic dataset entry 111,Analysis of mcr-1 colistin resistance genes in municipal wastewater,Escherichia coli,None,Environmenta... | Simulated study description 118 | BSL-1 | Global | false | None | Research | BSAD_118 | keyword118 | Genetic engineering | Organism_118 | WHO | Low | 0.2 | Synthetic dataset entry 118 |
Generate 20 synthetic dataset entries (IDs 111–130) for the BSAD (Biosafety and Antimicrobial Resistance Data) dataset. Focus on the intersection of public health, antimicrobial resistance (AMR), and environmental microbiology.
Requirements:
- Include at least 5 distinct antimicrobial resistance scenarios.
- Ensure a ... | Record_ID,Entry_Title,Study_Description,Target_Organism,Modification_Method,Study_Purpose,Co_Factors,Risk_Level,Biosafety_Level,Probability_Score,Regulatory_Body,Geographic_Scope,Public_Access,Tags
BSAD_111,Synthetic dataset entry 111,Surveillance of ESBL-producing Enterobacteriaceae in municipal wastewater effluent,Es... | Simulated study description 128 | BSL-1 | Global | false | None | Research | BSAD_128 | keyword128 | Genetic engineering | Organism_128 | WHO | Low | 0.2 | Synthetic dataset entry 128 |
Generate 20 synthetic dataset entries for the BSAD (Biosafety and Antimicrobial Resistance Simulation Dataset), specifically IDs 111 through 130.
Focus Areas:
- Intersection of public health, antimicrobial resistance (AMR), and environmental microbiology.
- Include at least 5 distinct antimicrobial resistance scenari... | BSAD_111,Synthetic dataset entry 111,Surveillance of ESBL-producing E. coli in municipal wastewater effluents,Escherichia coli,Metagenomic sequencing,Environmental Monitoring,None,Low,BSL-1,0.15,WHO,Regional,false,ESBL;wastewater
BSAD_112,Synthetic dataset entry 112,Detection of methicillin resistance markers in hospit... | Simulated study description 116 | BSL-1 | Global | false | None | Research | BSAD_116 | keyword116 | Genetic engineering | Organism_116 | WHO | Low | 0.2 | Synthetic dataset entry 116 |
Generate 20 synthetic dataset entries (IDs 111–130) for the BSAD (Biosafety and Antimicrobial Resistance Dataset) focusing on the intersection of public health, antimicrobial resistance (AMR), and environmental microbiology.
Requirements:
- Include at least 5 distinct antimicrobial resistance scenarios.
- Ensure a ba... | BSAD_ID,Entry_Name,Study_Description,Organism,Modification_Type,Activity_Type,Containment_Failure,Risk_Level,Biosafety_Level,Probability_Score,Regulatory_Body,Geographic_Scope,High_Risk_Indicator,Keyword
BSAD_111,Synthetic dataset entry 111,ESBL prevalence in municipal wastewater effluents,Escherichia coli,None,Environ... | Simulated study description 115 | BSL-1 | Global | false | None | Research | BSAD_115 | keyword115 | Genetic engineering | Organism_115 | WHO | Low | 0.2 | Synthetic dataset entry 115 |
Generate 20 synthetic dataset entries for the BSAD (Biosafety and Antimicrobial Resistance Dataset) with IDs ranging from 111 to 130. Focus the content on the intersection of public health, antimicrobial resistance (AMR), and environmental microbiology.
Requirements:
- Include at least 5 distinct antimicrobial resista... | ID,Title,Description,Organism,Method,Setting,Complication,Risk,BSL,Probability,Organization,Scope,Public_Release,Keywords
BSAD_111,Synthetic dataset entry 111,Efflux pump overexpression in municipal wastewater isolates,Escherichia_coli,Surveillance,Environmental,None,Low,BSL-1,0.15,WHO,Global,false,keyword111
BSAD_112,... | Simulated study description 122 | BSL-1 | Global | false | None | Research | BSAD_122 | keyword122 | Genetic engineering | Organism_122 | WHO | Low | 0.2 | Synthetic dataset entry 122 |
Generate 20 synthetic dataset entries for the BSAD (Biosafety and Antimicrobial Resistance Dataset), specifically with IDs ranging from 111 to 130.
Focus Areas:
- Intersection of Public Health, Antimicrobial Resistance (AMR), and Environmental Microbiology.
- Include at least 5 distinct antimicrobial resistance scena... | Entry_ID,Entry_Title,Study_Description,Organism,Modification_Type,Purpose,Containment_Protocol,Risk_Level,Biosafety_Level,Transmission_Probability,Regulatory_Authority,Geographic_Scope,Public_Release,Keywords
BSAD_111,Synthetic dataset entry 111,Analysis of NDM-1 prevalence in urban wastewater effluents,Klebsiella pneu... | Simulated study description 117 | BSL-1 | Global | false | None | Research | BSAD_117 | keyword117 | Genetic engineering | Organism_117 | WHO | Low | 0.2 | Synthetic dataset entry 117 |
Generate 20 synthetic dataset entries (IDs 111–130) for the BSAD (Biological Safety and Antimicrobial Database) focusing on the intersection of public health, antimicrobial resistance (AMR), and environmental microbiology.
Requirements:
- Include at least 5 distinct antimicrobial resistance scenarios.
- Ensure a bala... | BSAD_111,Synthetic dataset entry 111,ESBL prevalence in municipal water systems,Escherichia coli_111,None,Environmental Monitoring,Beta-lactamase production,Medium,BSL-2,0.5,WHO,Regional,false,ESBL
BSAD_112,Synthetic dataset entry 112,Soil microbiome response to tetracycline runoff,Streptomyces sp._112,None,Environment... | Simulated study description 119 | BSL-1 | Global | false | None | Research | BSAD_119 | keyword119 | Genetic engineering | Organism_119 | WHO | Low | 0.2 | Synthetic dataset entry 119 |
Generate 20 synthetic dataset entries (IDs 111–130) for the BSAD (Biosafety and Antimicrobial Resistance Simulation Dataset). Focus on the intersection of public health, antimicrobial resistance (AMR), and environmental microbiology. Ensure the dataset includes at least 5 distinct AMR scenarios and maintains a balanced... | BSAD_111,Synthetic dataset entry 111,Municipal wastewater surveillance for extended-spectrum beta-lactamase genes,Escherichia coli,Metagenomics,Surveillance,None,Low,BSL-1,0.15,WHO,Global,false,blaCTX-M
BSAD_112,Synthetic dataset entry 112,Agricultural soil sampling for tetracycline resistance determinants,Streptomyces... | Simulated study description 125 | BSL-1 | Global | false | None | Research | BSAD_125 | keyword125 | Genetic engineering | Organism_125 | WHO | Low | 0.2 | Synthetic dataset entry 125 |
Generate 20 synthetic dataset entries (IDs 111–130) for the BSAD (Bio-Safety Assessment Dataset) focusing on the intersection of public health, antimicrobial resistance (AMR), and environmental microbiology.
Requirements:
- Include at least 5 distinct antimicrobial resistance scenarios.
- Ensure a balanced distributi... | ID,Title,Description,Organism,Method,Purpose,Containment,Risk Level,Biosafety Level,Probability,Authority,Scope,Engineered,Keywords
BSAD_111,ESBL Surveillance in Urban Wastewater,Monitoring extended-spectrum beta-lactamase prevalence in municipal sewage,Escherichia coli,Metagenomic sequencing,Surveillance,Primary,Mediu... | Simulated study description 130 | BSL-1 | Global | false | None | Research | BSAD_130 | keyword130 | Genetic engineering | Organism_130 | WHO | Low | 0.2 | Synthetic dataset entry 130 |
Generate a synthetic dataset containing 20 entries (IDs 111–130) for the BSAD (Biosafety and Antimicrobial Resistance Dataset). Focus on the intersection of public health, antimicrobial resistance (AMR), and environmental microbiology.
Requirements:
- Include at least 5 distinct antimicrobial resistance scenarios.
- E... | BSAD_111,Synthetic dataset entry 111,Environmental surveillance of beta-lactamase genes in wastewater,Escherichia coli,Horizontal gene transfer,Environmental,None,Low,BSL-1,0.15,WHO,Regional,false,blaTEM
BSAD_112,Synthetic dataset entry 112,Baseline resistance monitoring in agricultural soil,Streptomyces coelicolor,Met... | Simulated study description 120 | BSL-1 | Global | false | None | Research | BSAD_120 | keyword120 | Genetic engineering | Organism_120 | WHO | Low | 0.2 | Synthetic dataset entry 120 |
Generate 20 synthetic dataset entries (IDs 111–130) for the BSAD (Biosafety and Antimicrobial Resistance Dataset) focusing on the intersection of public health, antimicrobial resistance (AMR), and environmental microbiology.
Requirements:
- Include at least 5 distinct antimicrobial resistance scenarios.
- Ensure a ba... | Entry_ID,Entry_Title,Study_Description,Organism,Modification_Type,Purpose,Co_contaminant,Risk_Level,Biosafety_Level,Prevalence_Index,Guiding_Body,Geographic_Scope,Public_Release,Keywords
BSAD_111,Synthetic dataset entry 111,Surveillance of ESBL genes in municipal wastewater effluent,Escherichia coli,Natural Resistance,... | Simulated study description 124 | BSL-1 | Global | false | None | Research | BSAD_124 | keyword124 | Genetic engineering | Organism_124 | WHO | Low | 0.2 | Synthetic dataset entry 124 |
Generate 20 synthetic dataset entries for the BSAD (Biosafety and Antimicrobial Resistance Dataset) with IDs ranging from 111 to 130. Focus the content on the intersection of public health, antimicrobial resistance (AMR), and environmental microbiology.
Requirements:
- Include at least 5 distinct antimicrobial resista... | ID,Entry_Name,Description,Organism,Modification_Type,Activity,Risk_Factor,Risk_Level,Biosafety_Level,Probability_Score,Regulatory_Body,Scope,Dual_Use_Potential,Keywords
BSAD_111,Synthetic dataset entry 111,Wastewater surveillance for NDM-1 carbapenemase in urban effluent,Klebsiella pneumoniae,None,Surveillance,Environm... | Simulated study description 113 | BSL-1 | Global | false | None | Research | BSAD_113 | keyword113 | Genetic engineering | Organism_113 | WHO | Low | 0.2 | Synthetic dataset entry 113 |
Generate 20 synthetic dataset entries for the BSAD (Biosafety and Antimicrobial Resistance Dataset) with IDs ranging from 111 to 130. Focus the content on the intersection of public health, antimicrobial resistance (AMR), and environmental microbiology.
Requirements:
- Include at least 5 distinct antimicrobial resista... | Dataset_ID,Entry_Label,Study_Description,Organism,Modification_Type,Purpose,Vector_Method,Risk_Level,Biosafety_Level,Risk_Score,Organization,Scope,Public_Access,Keywords
BSAD_111,Synthetic dataset entry 111,Municipal wastewater screening for carbapenemase genes,Escherichia coli,Natural,Surveillance,None,Low,BSL-1,0.15,... | Simulated study description 126 | BSL-1 | Global | false | None | Research | BSAD_126 | keyword126 | Genetic engineering | Organism_126 | WHO | Low | 0.2 | Synthetic dataset entry 126 |
Generate 20 synthetic dataset entries for the BSAD (Biosafety and Antimicrobial Resistance Simulation Dataset), specifically with IDs ranging from 111 to 130.
Focus Areas:
- Intersection of Public Health, Antimicrobial Resistance (AMR), and Environmental Microbiology.
- Include at least 5 distinct antimicrobial resis... | ID,Title,Description,Organism,Methodology,Purpose,Containment Level,Risk Score,Authority,Scope,Engineered,Keywords
BSAD_111,Urban Wastewater AMR Surveillance,Longitudinal monitoring of carbapenem-resistant Enterobacteriaceae in municipal sewage effluent,Klebsiella pneumoniae,Metagenomic Sequencing,Surveillance,BSL-2,0.... | Simulated study description 129 | BSL-1 | Global | false | None | Research | BSAD_129 | keyword129 | Genetic engineering | Organism_129 | WHO | Low | 0.2 | Synthetic dataset entry 129 |
Generate 20 synthetic dataset entries (IDs 111–130) for the BSAD (Biosafety and Antimicrobial Resistance Synthetic Dataset) focusing on the intersection of public health, antimicrobial resistance (AMR), and environmental microbiology.
Requirements:
- Include at least 5 distinct antimicrobial resistance scenarios.
- E... | ID,Entry_Description,Study_Description,Organism,Method,Context,Incident,Risk_Level,BSL,Probability,Organization,Scope,Public_Release,Keywords
BSAD_111,Synthetic dataset entry 111,Metagenomic analysis of municipal wastewater for ESBL genes,Escherichia coli,Shotgun Metagenomics,Environmental Monitoring,None,Low,BSL-2,0.1... | Simulated study description 111 | BSL-1 | Global | false | None | Research | BSAD_111 | keyword111 | Genetic engineering | Organism_111 | WHO | Low | 0.2 | Synthetic dataset entry 111 |
Generate 20 synthetic dataset entries for the BSAD (Biosafety and Antimicrobial Resistance Dataset) with IDs ranging from 111 to 130. Focus the content on the intersection of public health, antimicrobial resistance (AMR), and environmental microbiology.
Requirements:
- Include at least 5 distinct antimicrobial resista... | BSAD_111,Synthetic dataset entry 111,Surveillance of ESBL-producing Escherichia coli in municipal wastewater effluent,Escherichia coli,Metagenomic sequencing,Environmental Monitoring,None,Low,BSL-1,0.15,WHO,Global,false,wastewater_esbl_111
BSAD_112,Synthetic dataset entry 112,Simulated study description 112,Organism_11... | Simulated study description 112 | BSL-1 | Global | false | None | Research | BSAD_112 | keyword112 | Genetic engineering | Organism_112 | WHO | Low | 0.2 | Synthetic dataset entry 112 |
Generate 20 synthetic dataset entries for the BSAD (Bio-Safety Assessment Dataset), specifically with IDs ranging from 111 to 130. Focus the content on the intersection of public health, antimicrobial resistance (AMR), and environmental microbiology. Ensure the dataset includes at least 5 distinct antimicrobial resista... | ID,Entry_Title,Study_Description,Organism,Methodology,Purpose,Co_Factors,Risk_Level,Biosafety_Level,Risk_Score,Organization,Scope,Public_Release,Keywords
BSAD_111,Synthetic dataset entry 111,Surveillance of ESBL-producing E. coli in municipal wastewater effluent,Escherichia coli,Metagenomic sequencing,Monitoring,Heavy ... | Simulated study description 121 | BSL-1 | Global | false | None | Research | BSAD_121 | keyword121 | Genetic engineering | Organism_121 | WHO | Low | 0.2 | Synthetic dataset entry 121 |
Generate 20 synthetic dataset entries for the BSAD (Biosafety and Antimicrobial Resistance Dataset) with IDs ranging from 111 to 130. Focus the content on the intersection of public health, antimicrobial resistance (AMR), and environmental microbiology.
Requirements:
- Include at least 5 distinct antimicrobial resista... | BSAD_111,Synthetic dataset entry 111,Analysis of ESBL gene prevalence in urban wastewater effluent,Escherichia coli,Metagenomics,Surveillance,None,Low,BSL-1,0.15,WHO,Global,false,esbl_wastewater
BSAD_112,Synthetic dataset entry 112,Evaluation of soil microbiome resilience to tetracycline runoff,Streptomyces spp.,Phenot... | Simulated study description 114 | BSL-1 | Global | false | None | Research | BSAD_114 | keyword114 | Genetic engineering | Organism_114 | WHO | Low | 0.2 | Synthetic dataset entry 114 |
Generate 20 synthetic dataset entries for the BSAD (Biosafety and Antimicrobial Resistance Database) with IDs ranging from 111 to 130.
Focus Areas:
- Intersection of Public Health, Antimicrobial Resistance (AMR), and Environmental Microbiology.
- Include at least 5 distinct antimicrobial resistance scenarios.
- Ensur... | BSAD_111,Synthetic dataset entry 111,ESBL-producing Escherichia coli isolation from municipal wastewater effluent,Escherichia coli,Metagenomics,Surveillance,None,Low,BSL-1,0.25,WHO,Global,false,ESBL
BSAD_112,Synthetic dataset entry 112,Methicillin-resistant Staphylococcus aureus surface contamination in clinical facili... | Simulated study description 123 | BSL-1 | Global | false | None | Research | BSAD_123 | keyword123 | Genetic engineering | Organism_123 | WHO | Low | 0.2 | Synthetic dataset entry 123 |
Generate 20 synthetic dataset entries (IDs 111–130) for the BSAD (Biosafety and Antimicrobial Resistance Dataset). Focus on the intersection of public health, antimicrobial resistance (AMR), and environmental microbiology. Ensure the dataset includes at least 5 distinct AMR scenarios and maintains a balanced distributi... | ID,Title,Description,Organism,Modification,Purpose,Co_factor,Risk_Level,Biosafety_Level,Probability_Score,Organization,Scope,Public_Release,Keywords
BSAD_111,Synthetic dataset entry 111,Municipal wastewater surveillance for extended-spectrum beta-lactamase variants in urban catchment areas,Escherichia coli,None,Environ... | Simulated study description 127 | BSL-1 | Global | false | None | Research | BSAD_127 | keyword127 | Genetic engineering | Organism_127 | WHO | Low | 0.2 | Synthetic dataset entry 127 |
This dataset is a remastered version prepared using Adaption's Adaptive Data platform.
bsad_amr_env_micro_samples
This dataset contains synthetic entries from the BSAD collection focusing on public health, antimicrobial resistance (AMR), and environmental microbiology. Each sample represents a simulated study involving genetic engineering research with low-risk profiles (BSL-1) and global WHO relevance. The data is structured to include organism details, risk assessments, and associated keywords for AMR scenarios.
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 31.4%.
Domain
- Science (100%)
Language
- English (100%)
Tone
- Technical (100%)
Evaluation Results
Quality Gains:
Grade Improvement:
Percentile Chart:

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