id
int64 1
1.34k
| query
stringlengths 30
232
| output
stringlengths 613
2.53k
|
|---|---|---|
101
|
"What datasets are available on the market share of different fiber optics equipment manufacturers?"
|
{
"query_id": "101",
"original_text": "What datasets are available on the market share of different fiber optics equipment manufacturers?",
"constraints": [
{
"concept": "resource type",
"field_candidates": [],
"operator": "equals",
"value": "dataset",
"source_confidence": 0.96
},
{
"concept": "measurement type",
"field_candidates": [],
"operator": "contains",
"value": "market share",
"source_confidence": 0.94
},
{
"concept": "product domain",
"field_candidates": [],
"operator": "contains",
"value": "fiber optics equipment",
"source_confidence": 0.95
},
{
"concept": "entity type",
"field_candidates": [],
"operator": "contains",
"value": "manufacturers",
"source_confidence": 0.9
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"optical fiber",
"fiber-optic",
"optical networking equipment",
"vendors",
"suppliers",
"market share statistics",
"market research",
"industry reports",
"market share by company",
"optical transceivers",
"optical amplifiers"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
102
|
Is there a dataset available on the financial performance of fiber optics equipment manufacturers?
|
{
"query_id": "102",
"original_text": "Is there a dataset available on the financial performance of fiber optics equipment manufacturers?",
"constraints": [
{
"concept": "dataset availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
},
{
"concept": "financial metric",
"field_candidates": [],
"operator": "contains",
"value": "financial performance",
"source_confidence": 0.95
},
{
"concept": "company type",
"field_candidates": [],
"operator": "contains",
"value": "fiber optics equipment manufacturers",
"source_confidence": 0.92
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": ["financial metrics", "revenue", "profit", "EBITDA", "balance sheet", "income statement", "optical networking vendors", "fiber optic suppliers", "telecom equipment manufacturers", "market performance"],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
103
|
"What datasets are available on the historical trends in the revenue and growth of fiber optics equipment manufacturers?"
|
{
"query_id": "103",
"original_text": "What datasets are available on the historical trends in the revenue and growth of fiber optics equipment manufacturers?",
"constraints": [
{
"concept": "resource type",
"field_candidates": [],
"operator": "equals",
"value": "dataset",
"source_confidence": 0.98
},
{
"concept": "industry sector",
"field_candidates": [],
"operator": "contains",
"value": "fiber optics equipment",
"source_confidence": 0.93
},
{
"concept": "organization type",
"field_candidates": [],
"operator": "contains",
"value": "manufacturer",
"source_confidence": 0.92
},
{
"concept": "financial metric",
"field_candidates": [],
"operator": "contains",
"value": "revenue",
"source_confidence": 0.95
},
{
"concept": "financial metric",
"field_candidates": [],
"operator": "contains",
"value": "growth",
"source_confidence": 0.95
},
{
"concept": "temporal coverage",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "historical trends",
"source_confidence": 0.9
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"fiber-optic equipment",
"optical fiber",
"telecommunications equipment",
"company financials",
"revenues",
"sales",
"CAGR",
"year-over-year growth",
"time series",
"market trends",
"manufacturers",
"vendor financials"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
104
|
What datasets are available on the impact of welfare reform on employment rates?
|
{
"query_id": "104",
"original_text": "What datasets are available on the impact of welfare reform on employment rates?",
"constraints": [
{
"concept": "policy intervention",
"field_candidates": [],
"operator": "contains",
"value": "welfare reform",
"source_confidence": 0.96
},
{
"concept": "outcome measure",
"field_candidates": [],
"operator": "contains",
"value": "employment rates",
"source_confidence": 0.95
},
{
"concept": "study type",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "impact evaluation",
"source_confidence": 0.9
},
{
"concept": "dataset presence",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"welfare policy",
"welfare-to-work",
"social assistance reform",
"benefit reform",
"employment outcomes",
"labor force participation",
"unemployment rate",
"program evaluation",
"impact assessment",
"causal inference",
"difference-in-differences",
"administrative data",
"survey data"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
105
|
Is there a dataset on the effects of welfare reform on poverty rates in the United States?
|
{
"query_id": "105",
"original_text": "Is there a dataset on the effects of welfare reform on poverty rates in the United States?",
"constraints": [
{
"concept": "policy intervention",
"field_candidates": [],
"operator": "contains",
"value": "welfare reform",
"source_confidence": 0.95
},
{
"concept": "outcome / measurement",
"field_candidates": [],
"operator": "contains",
"value": "poverty rates",
"source_confidence": 0.96
},
{
"concept": "geographic location",
"field_candidates": [],
"operator": "equals",
"value": "United States",
"source_confidence": 0.99
},
{
"concept": "analysis focus",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "effects OR impact OR causal impact",
"source_confidence": 0.9
},
{
"concept": "dataset availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
}
],
"required_modalities": [
"JSON",
"XML",
"RDF",
"Text"
],
"soft_terms": [
"TANF",
"AFDC",
"welfare policy",
"income support",
"poverty measurement",
"poverty incidence",
"SIPP",
"CPS",
"impact evaluation",
"difference-in-differences",
"panel data",
"social assistance"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
106
|
Where can I find a dataset on the implementation of welfare reform policies in different states?
|
{
"query_id": "106",
"original_text": "Where can I find a dataset on the implementation of welfare reform policies in different states?",
"constraints": [
{
"concept": "data resource",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
},
{
"concept": "policy area",
"field_candidates": [],
"operator": "contains",
"value": "welfare reform",
"source_confidence": 0.95
},
{
"concept": "policy implementation",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "implementation of welfare reform policies",
"source_confidence": 0.9
},
{
"concept": "geographic coverage",
"field_candidates": [],
"operator": "contains",
"value": "states",
"source_confidence": 0.9
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": ["TANF", "welfare-to-work", "program rollout", "state-level policy", "policy adoption", "implementation evaluation", "administration of benefits", "state governments", "comparative policy"],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
107
|
What data is available on the effectiveness of welfare-to-work programs in reducing dependence on public assistance?
|
{
"query_id": "107",
"original_text": "What data is available on the effectiveness of welfare-to-work programs in reducing dependence on public assistance?",
"constraints": [
{
"concept": "program type",
"field_candidates": [],
"operator": "contains",
"value": "welfare-to-work programs",
"source_confidence": 0.95
},
{
"concept": "outcome",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "reduction in dependence on public assistance",
"source_confidence": 0.92
},
{
"concept": "measurement type",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "effectiveness / impact measures (e.g., reduction in benefit receipt, enrollment, duration of receipt)",
"source_confidence": 0.9
},
{
"concept": "data availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"workfare",
"job training",
"job placement",
"welfare reform",
"benefits receipt",
"public assistance enrollment",
"recidivism to welfare",
"income support",
"employment outcomes",
"program evaluation",
"randomized controlled trial",
"quasi-experimental",
"administrative data",
"longitudinal study"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
108
|
What datasets are available on catastrophic health insurance policies?
|
{
"query_id": "108",
"original_text": "What datasets are available on catastrophic health insurance policies?",
"constraints": [
{
"concept": "policy type",
"field_candidates": [],
"operator": "contains",
"value": "catastrophic health insurance",
"source_confidence": 0.96
},
{
"concept": "dataset availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"catastrophic coverage",
"high-deductible health plan",
"ACA catastrophic plans",
"insurance claims data",
"enrollment data",
"premiums",
"deductibles",
"out-of-pocket maximum",
"policy terms",
"health insurance datasets"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
109
|
Is there a dataset that compares the cost and coverage of catastrophic health insurance plans across different providers?
|
{
"query_id": "109",
"original_text": "Is there a dataset that compares the cost and coverage of catastrophic health insurance plans across different providers?",
"constraints": [
{
"concept": "insurance plan type",
"field_candidates": [],
"operator": "contains",
"value": "catastrophic health insurance",
"source_confidence": 0.95
},
{
"concept": "cost",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.92
},
{
"concept": "coverage",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.92
},
{
"concept": "provider scope",
"field_candidates": [],
"operator": "contains",
"value": "different providers",
"source_confidence": 0.9
},
{
"concept": "comparative analysis",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"catastrophic coverage",
"high-deductible",
"HDHP",
"premiums",
"out-of-pocket maximum",
"deductible",
"benefits",
"insurer",
"provider comparison",
"plan comparison",
"network coverage",
"cost-sharing"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
110
|
Can I find a dataset on the number of individuals enrolled in catastrophic health insurance plans by state?
|
{
"query_id": "110",
"original_text": "Can I find a dataset on the number of individuals enrolled in catastrophic health insurance plans by state?",
"constraints": [
{
"concept": "insurance plan type",
"field_candidates": [],
"operator": "contains",
"value": "catastrophic health insurance",
"source_confidence": 0.95
},
{
"concept": "measurement type",
"field_candidates": [],
"operator": "equals",
"value": "number enrolled",
"source_confidence": 0.9
},
{
"concept": "geographic granularity",
"field_candidates": [],
"operator": "equals",
"value": "state",
"source_confidence": 0.96
},
{
"concept": "dataset availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.8
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"catastrophic plans",
"catastrophic coverage",
"high-deductible plans",
"enrollees",
"subscribers",
"members",
"state-level enrollment",
"state breakdown",
"health insurance enrollment data",
"ACA catastrophic"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
111
|
"What datasets are available on the historical trend of premiums for catastrophic health insurance plans in the US?"
|
{
"query_id": "111",
"original_text": "What datasets are available on the historical trend of premiums for catastrophic health insurance plans in the US?",
"constraints": [
{
"concept": "insurance plan type",
"field_candidates": [],
"operator": "contains",
"value": "catastrophic health insurance",
"source_confidence": 0.95
},
{
"concept": "measurement variable",
"field_candidates": [],
"operator": "contains",
"value": "premium",
"source_confidence": 0.95
},
{
"concept": "geographic scope",
"field_candidates": [],
"operator": "equals",
"value": "United States",
"source_confidence": 0.98
},
{
"concept": "time series data",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.90
},
{
"concept": "data product",
"field_candidates": [],
"operator": "equals",
"value": "datasets",
"source_confidence": 0.90
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"insurance premiums",
"premium trend",
"historical premiums",
"time series",
"catastrophic plans",
"ACA catastrophic",
"individual market",
"Kaiser Family Foundation (KFF)",
"CMS",
"NAIC",
"premium rates",
"health insurance costs"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
112
|
Is there a dataset available on patent filings by companies, specifically those related to cutting-edge technologies or novel products?
|
{
"query_id": "112",
"original_text": "Is there a dataset available on patent filings by companies, specifically those related to cutting-edge technologies or novel products?",
"constraints": [
{
"concept": "document type",
"field_candidates": [],
"operator": "equals",
"value": "patent filings",
"source_confidence": 0.96
},
{
"concept": "agent type",
"field_candidates": [],
"operator": "contains",
"value": "companies",
"source_confidence": 0.95
},
{
"concept": "dataset availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
},
{
"concept": "innovation/technology novelty",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "cutting-edge technologies or novel products",
"source_confidence": 0.88
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": ["patent applications", "IP filings", "intellectual property", "emerging technology", "disruptive tech", "novel inventions", "R&D outputs", "technology commercialization"],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
113
|
Are there any datasets that track venture capital funding for startups that are developing innovative products or services?
|
{
"query_id": "113",
"original_text": "Are there any datasets that track venture capital funding for startups that are developing innovative products or services?",
"constraints": [
{
"concept": "dataset subject",
"field_candidates": [],
"operator": "contains",
"value": "venture capital funding",
"source_confidence": 0.95
},
{
"concept": "entity type",
"field_candidates": [],
"operator": "contains",
"value": "startup",
"source_confidence": 0.92
},
{
"concept": "innovation focus",
"field_candidates": [],
"operator": "contains",
"value": "innovative products or services",
"source_confidence": 0.88
},
{
"concept": "dataset existence",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"VC funding",
"venture investment",
"seed funding",
"series A",
"startup financing",
"funding rounds",
"deal flow",
"Crunchbase",
"PitchBook",
"CB Insights",
"AngelList",
"innovation",
"product development",
"service innovation"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
114
|
"What datasets are available on companies that have won innovation awards or received recognition from industry experts?"
|
{
"query_id": "114",
"original_text": "What datasets are available on companies that have won innovation awards or received recognition from industry experts?",
"constraints": [
{
"concept": "organization type",
"field_candidates": [],
"operator": "contains",
"value": "company",
"source_confidence": 0.95
},
{
"concept": "innovation award",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
},
{
"concept": "industry expert recognition",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.88
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"innovation prize",
"industry awards",
"accolades",
"expert endorsements",
"recognition by trade bodies",
"honors",
"company awards",
"innovation winners",
"industry recognition",
"best innovative companies"
],
"boolean_structure": "organization type AND",
"provenance_policy": "capture_all"
}
|
115
|
"What datasets are available on biotechnology companies ranked by funding amount?"
|
{
"query_id": "115",
"original_text": "What datasets are available on biotechnology companies ranked by funding amount?",
"constraints": [
{
"concept": "company sector",
"field_candidates": [],
"operator": "contains",
"value": "biotechnology",
"source_confidence": 0.95
},
{
"concept": "funding amount",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.93
},
{
"concept": "ranking criterion",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "ranked by funding amount",
"source_confidence": 0.88
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"biotech startups",
"life sciences companies",
"venture capital",
"funding rounds",
"investment amount",
"seed funding",
"Series A/B/C",
"company funding ranking",
"investor data",
"funding totals"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
116
|
"What datasets are available on venture capital investments in biotechnology startups?"
|
{
"query_id": "116",
"original_text": "What datasets are available on venture capital investments in biotechnology startups?",
"constraints": [
{
"concept": "resource type",
"field_candidates": [],
"operator": "contains",
"value": "datasets",
"source_confidence": 0.95
},
{
"concept": "investment type",
"field_candidates": [],
"operator": "contains",
"value": "venture capital",
"source_confidence": 0.98
},
{
"concept": "industry sector",
"field_candidates": [],
"operator": "contains",
"value": "biotechnology startups",
"source_confidence": 0.96
}
],
"required_modalities": [
"JSON",
"XML",
"RDF",
"Text"
],
"soft_terms": [
"VC funding",
"venture financing",
"funding rounds",
"seed funding",
"Series A",
"life sciences startups",
"biotech companies",
"investment deals",
"portfolio companies",
"deal flow data"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
117
|
"What datasets are available on average funding round sizes for biotechnology companies?"
|
{
"query_id": "117",
"original_text": "What datasets are available on average funding round sizes for biotechnology companies?",
"constraints": [
{
"concept": "resource type",
"field_candidates": [],
"operator": "equals",
"value": "dataset",
"source_confidence": 0.9
},
{
"concept": "financial metric",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.92
},
{
"concept": "company sector",
"field_candidates": [],
"operator": "contains",
"value": "biotechnology",
"source_confidence": 0.96
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"venture funding",
"deal size",
"funding rounds",
"Series A",
"Series B",
"seed round",
"investment amount",
"life sciences startups",
"biotech startups",
"VC investments"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
118
|
What are some datasets on new space satellite applications and their usage?
|
{
"query_id": "118",
"original_text": "What are some datasets on new space satellite applications and their usage?",
"constraints": [
{
"concept": "resource type",
"field_candidates": [],
"operator": "equals",
"value": "dataset",
"source_confidence": 0.95
},
{
"concept": "sector",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "NewSpace (commercial space sector)",
"source_confidence": 0.88
},
{
"concept": "satellite applications",
"field_candidates": [],
"operator": "contains",
"value": "satellite applications",
"source_confidence": 0.97
},
{
"concept": "usage data / metrics",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.90
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"New Space",
"commercial satellites",
"satcom",
"earth observation",
"remote sensing",
"telecommunications",
"in-orbit services",
"payload usage",
"operational data",
"usage statistics",
"mission utilization"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
119
|
Can you provide a dataset on the applications and benefits of new space satellite technology?
|
{
"query_id": "119",
"original_text": "Can you provide a dataset on the applications and benefits of new space satellite technology?",
"constraints": [
{
"concept": "resource type",
"field_candidates": [],
"operator": "equals",
"value": "dataset",
"source_confidence": 0.95
},
{
"concept": "technology domain",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "new space satellite technology",
"source_confidence": 0.92
},
{
"concept": "topic focus",
"field_candidates": [],
"operator": "contains",
"value": "applications and benefits",
"source_confidence": 0.88
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": ["NewSpace", "commercial satellites", "small satellites", "CubeSats", "satellite applications", "remote sensing", "earth observation", "satcom", "communications", "use cases", "benefits", "economic impact", "technology adoption"],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
120
|
Where can I find datasets related to new and innovative uses of space satellites?
|
{
"query_id": "120",
"original_text": "Where can I find datasets related to new and innovative uses of space satellites?",
"constraints": [
{
"concept": "resource type",
"field_candidates": [],
"operator": "equals",
"value": "datasets",
"source_confidence": 0.98
},
{
"concept": "subject",
"field_candidates": [],
"operator": "contains",
"value": "space satellites",
"source_confidence": 0.95
},
{
"concept": "application area",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "new and innovative uses",
"source_confidence": 0.86
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"satellite applications",
"space-based sensors",
"satcom",
"remote sensing",
"smallsats",
"cubesats",
"technology demonstration missions",
"novel satellite missions",
"space technology commercialization",
"in-orbit demonstrations"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
121
|
"What datasets are available on organizations or entities that have launched non-commercial satellites into space?"
|
{
"query_id": "121",
"original_text": "What datasets are available on organizations or entities that have launched non-commercial satellites into space?",
"constraints": [
{
"concept": "dataset existence",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.95
},
{
"concept": "subject type",
"field_candidates": [],
"operator": "contains",
"value": "organization or entity",
"source_confidence": 0.92
},
{
"concept": "activity",
"field_candidates": [],
"operator": "contains",
"value": "launched satellites",
"source_confidence": 0.96
},
{
"concept": "satellite purpose/type",
"field_candidates": [],
"operator": "contains",
"value": "non-commercial",
"source_confidence": 0.9
},
{
"concept": "location/operational domain",
"field_candidates": [],
"operator": "contains",
"value": "space",
"source_confidence": 0.9
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"non-profit satellites",
"academic satellites",
"university CubeSats",
"governmental non-commercial launches",
"satellite operators",
"launch records",
"satellite registry",
"COSPAR registry",
"UN Register of Objects Launched into Outer Space",
"NORAD/USSTRATCOM catalog",
"small satellites",
"mission manifests"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
122
|
"What datasets are available on patterns or trends in non-commercial satellite launches, such as geographical distribution or frequency of launches?"
|
{
"query_id": "122",
"original_text": "What datasets are available on patterns or trends in non-commercial satellite launches, such as geographical distribution or frequency of launches?",
"constraints": [
{
"concept": "dataset availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.95
},
{
"concept": "subject",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "non-commercial satellite launches",
"source_confidence": 0.94
},
{
"concept": "analysis focus",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "patterns or trends",
"source_confidence": 0.9
},
{
"concept": "metrics of interest",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "geographical distribution; frequency of launches",
"source_confidence": 0.88
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"noncommercial",
"civilian launches",
"government launches",
"academic launches",
"scientific payloads",
"CubeSats",
"smallsats",
"launch frequency",
"launch rate",
"temporal trends",
"spatial distribution",
"launch site locations",
"launch cadence",
"geospatial distribution",
"launch statistics"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
123
|
"What datasets are available on the impact of the 1986 Immigration Law on the US economy, particularly in terms of employment and wages?"
|
{
"query_id": "123",
"original_text": "What datasets are available on the impact of the 1986 Immigration Law on the US economy, particularly in terms of employment and wages?",
"constraints": [
{
"concept": "policy / law",
"field_candidates": [],
"operator": "contains",
"value": "1986 Immigration Law (IRCA)",
"source_confidence": 0.95
},
{
"concept": "geography",
"field_candidates": [],
"operator": "equals",
"value": "United States",
"source_confidence": 0.99
},
{
"concept": "economic outcome - employment",
"field_candidates": [],
"operator": "contains",
"value": "employment",
"source_confidence": 0.95
},
{
"concept": "economic outcome - wages",
"field_candidates": [],
"operator": "contains",
"value": "wages",
"source_confidence": 0.95
},
{
"concept": "dataset availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"IRCA",
"Immigration Reform and Control Act",
"1986 law",
"labor market",
"employment rate",
"unemployment",
"earnings",
"wage effect",
"labor force participation",
"CPS",
"ACS",
"BLS",
"longitudinal surveys",
"panel data",
"immigrant legalization",
"amnesty 1986"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
124
|
"What datasets are available on the effects of the 1986 Immigration Law on the social and demographic composition of immigrant communities in the US?"
|
{
"query_id": "124",
"original_text": "What datasets are available on the effects of the 1986 Immigration Law on the social and demographic composition of immigrant communities in the US?",
"constraints": [
{
"concept": "policy / law",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "Immigration Reform and Control Act of 1986 (IRCA); 1986 Immigration Law",
"source_confidence": 0.95
},
{
"concept": "social and demographic composition",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "social composition; demographic composition; population structure; household composition; age, race/ethnicity, education, employment",
"source_confidence": 0.93
},
{
"concept": "population group",
"field_candidates": [],
"operator": "contains",
"value": "immigrant communities; immigrants",
"source_confidence": 0.94
},
{
"concept": "geographic region",
"field_candidates": [],
"operator": "equals",
"value": "United States",
"source_confidence": 0.98
},
{
"concept": "timeframe / temporal focus",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "post-1986 effects; medium- and long-term impacts following 1986",
"source_confidence": 0.9
},
{
"concept": "dataset availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"Immigration Reform and Control Act",
"IRCA",
"amnesty 1986",
"legalization program",
"employer sanctions",
"enforcement changes",
"demographic shifts",
"community composition",
"naturalization",
"settlement patterns",
"family reunification",
"labor market outcomes",
"census data",
"American Community Survey",
"longitudinal surveys",
"administrative records",
"migration flows",
"ethnic composition",
"household structure",
"socioeconomic status"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
125
|
"What datasets are available on the impact of the 1986 Immigration Law on US border security and immigration enforcement?"
|
{
"query_id": "125",
"original_text": "What datasets are available on the impact of the 1986 Immigration Law on US border security and immigration enforcement?",
"constraints": [
{
"concept": "legislation",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "Immigration Reform and Control Act (IRCA), 1986",
"source_confidence": 0.95
},
{
"concept": "policy topic",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "border security",
"source_confidence": 0.92
},
{
"concept": "policy topic",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "immigration enforcement",
"source_confidence": 0.92
},
{
"concept": "geography",
"field_candidates": [],
"operator": "equals",
"value": "United States",
"source_confidence": 0.97
},
{
"concept": "dataset availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.94
},
{
"concept": "policy impact measurement",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"IRCA",
"Immigration Reform and Control Act",
"1986 immigration law",
"border control",
"Border Patrol",
"deportation",
"apprehensions",
"unauthorized crossings",
"enforcement metrics",
"policy evaluation",
"immigration policy outcomes"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
126
|
What datasets are available on generic drug substitutions?
|
{
"query_id": "126",
"original_text": "What datasets are available on generic drug substitutions?",
"constraints": [
{
"concept": "resource type",
"field_candidates": [],
"operator": "equals",
"value": "dataset",
"source_confidence": 0.96
},
{
"concept": "pharmacology topic",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "generic drug substitutions",
"source_confidence": 0.92
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"generic substitution",
"therapeutic substitution",
"bioequivalence",
"brand vs generic",
"formulary substitution",
"prescription switching",
"interchangeability",
"substitution policy",
"pharmacy practice"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
127
|
Is there a dataset that provides information on the effectiveness of generic drug substitutions compared to brand-name medications?
|
{
"query_id": "127",
"original_text": "Is there a dataset that provides information on the effectiveness of generic drug substitutions compared to brand-name medications?",
"constraints": [
{
"concept": "drug substitution type",
"field_candidates": [],
"operator": "contains",
"value": "generic drug substitution",
"source_confidence": 0.96
},
{
"concept": "comparator drug type",
"field_candidates": [],
"operator": "contains",
"value": "brand-name medications",
"source_confidence": 0.96
},
{
"concept": "effectiveness outcome",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.92
},
{
"concept": "dataset availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.90
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"comparative effectiveness",
"bioequivalence",
"therapeutic equivalence",
"brand vs generic",
"real-world evidence",
"observational study",
"clinical outcomes",
"prescription claims data",
"electronic health records",
"pharmacovigilance",
"cost-effectiveness",
"generic substitution policy"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
128
|
Are there any datasets that analyze the cost savings associated with using generic drug substitutions over brand-name drugs?
|
{
"query_id": "128",
"original_text": "Are there any datasets that analyze the cost savings associated with using generic drug substitutions over brand-name drugs?",
"constraints": [
{
"concept": "drug type comparison",
"field_candidates": [],
"operator": "contains",
"value": "generic vs brand-name",
"source_confidence": 0.95
},
{
"concept": "economic outcome",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "cost savings",
"source_confidence": 0.94
},
{
"concept": "data resource type",
"field_candidates": [],
"operator": "contains",
"value": "dataset",
"source_confidence": 0.90
},
{
"concept": "cost savings analysis exists",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.92
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"generic substitution",
"brand-name drugs",
"branded drugs",
"generic drugs",
"pharmacoeconomics",
"cost-effectiveness",
"price difference",
"savings analysis",
"drug pricing",
"formulary substitution",
"medication cost savings",
"healthcare expenditure",
"payer savings",
"claims data",
"real-world evidence"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
129
|
Is there a dataset that shows the growth of the U.S. cellular telephone network's capacity over time?
|
{
"query_id": "129",
"original_text": "Is there a dataset that shows the growth of the U.S. cellular telephone network's capacity over time?",
"constraints": [
{
"concept": "region",
"field_candidates": [],
"operator": "contains",
"value": "United States",
"source_confidence": 0.98
},
{
"concept": "network type",
"field_candidates": [],
"operator": "contains",
"value": "cellular telephone network",
"source_confidence": 0.95
},
{
"concept": "measurement type",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "network capacity (bandwidth, throughput, spectral capacity, channels)",
"source_confidence": 0.90
},
{
"concept": "temporal dimension",
"field_candidates": [],
"operator": "contains",
"value": "time series / growth over time",
"source_confidence": 0.92
},
{
"concept": "dataset existence",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.90
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"mobile network capacity",
"cellular capacity",
"bandwidth growth",
"throughput",
"spectrum allocation",
"base station count",
"subscriber capacity",
"traffic volume",
"network expansion",
"time series dataset",
"longitudinal data",
"US cellular infrastructure"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
130
|
Are there any datasets that analyze the utilization rates and congestion levels of the U.S. cellular telephone network?
|
{
"query_id": "130",
"original_text": "Are there any datasets that analyze the utilization rates and congestion levels of the U.S. cellular telephone network?",
"constraints": [
{
"concept": "utilization rate",
"field_candidates": [],
"operator": "contains",
"value": "utilization rate",
"source_confidence": 0.95
},
{
"concept": "congestion level",
"field_candidates": [],
"operator": "contains",
"value": "congestion level",
"source_confidence": 0.95
},
{
"concept": "network type",
"field_candidates": [],
"operator": "contains",
"value": "cellular telephone network",
"source_confidence": 0.96
},
{
"concept": "geographic scope",
"field_candidates": [],
"operator": "contains",
"value": "United States",
"source_confidence": 0.98
},
{
"concept": "dataset availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"mobile network",
"cellular network",
"network utilization",
"network congestion",
"traffic load",
"throughput",
"bandwidth utilization",
"cell site load",
"base station congestion",
"call drop rate",
"subscriber usage",
"LTE",
"5G",
"carrier network"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
131
|
Where can I find data on the growth and capacity of the U.S. cellular telephone network?
|
{
"query_id": "131",
"original_text": "Where can I find data on the growth and capacity of the U.S. cellular telephone network?",
"constraints": [
{
"concept": "network type",
"field_candidates": [],
"operator": "contains",
"value": "cellular telephone network",
"source_confidence": 0.96
},
{
"concept": "geographic region",
"field_candidates": [],
"operator": "equals",
"value": "United States",
"source_confidence": 0.95
},
{
"concept": "network growth metrics",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "growth (subscriber counts, cell site deployments, traffic growth over time, deployment timelines)",
"source_confidence": 0.90
},
{
"concept": "network capacity metrics",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "capacity (spectrum allocation, bandwidth, throughput, cell capacity, backhaul capacity)",
"source_confidence": 0.92
},
{
"concept": "data type",
"field_candidates": [],
"operator": "contains",
"value": "datasets, statistics, measurements",
"source_confidence": 0.88
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"cellular network growth",
"subscriber growth",
"cell site deployments",
"base stations",
"BTS",
"spectrum allocation",
"bandwidth",
"throughput",
"mobile data traffic",
"network capacity planning",
"FCC",
"CTIA",
"OpenSignal",
"Ookla",
"GSMA",
"carrier reports",
"Verizon",
"AT&T",
"T-Mobile",
"Mbps"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
132
|
"What datasets are available on international terrorist incidents by country, year, and type of attack?"
|
{
"query_id": "132",
"original_text": "What datasets are available on international terrorist incidents by country, year, and type of attack?",
"constraints": [
{
"concept": "subject/topic",
"field_candidates": [],
"operator": "contains",
"value": "terrorist incidents",
"source_confidence": 0.98
},
{
"concept": "geographic scope",
"field_candidates": [],
"operator": "contains",
"value": "international",
"source_confidence": 0.88
},
{
"concept": "country (geographic granularity)",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.92
},
{
"concept": "year (temporal granularity)",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.92
},
{
"concept": "attack type",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.95
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"terrorism",
"terrorist attacks",
"attack method",
"modus operandi",
"weapon type",
"attack category",
"Global Terrorism Database",
"GTD",
"START",
"RAND-MIPT",
"incident database",
"cross-national",
"country-level",
"annual data",
"date",
"location"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
133
|
"What datasets are available on the global distribution of terrorist groups, their activities, and their target types?"
|
{
"query_id": "133",
"original_text": "What datasets are available on the global distribution of terrorist groups, their activities, and their target types?",
"constraints": [
{
"concept": "topic",
"field_candidates": [],
"operator": "contains",
"value": "terrorist groups",
"source_confidence": 0.96
},
{
"concept": "geographic coverage",
"field_candidates": [],
"operator": "equals",
"value": "global",
"source_confidence": 0.93
},
{
"concept": "activity types",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "terrorist activities",
"source_confidence": 0.90
},
{
"concept": "target types",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "attack target types",
"source_confidence": 0.90
},
{
"concept": "dataset availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.90
}
],
"required_modalities": [
"JSON",
"XML",
"RDF",
"Text"
],
"soft_terms": [
"terrorism datasets",
"attack incidents",
"incident database",
"terrorist incidents",
"actor locations",
"group distribution",
"attack types",
"target categories",
"victim types",
"extremist groups",
"militant organizations",
"political violence",
"event data",
"Global Terrorism Database",
"GTD",
"ACLED",
"START",
"attack method",
"target sector"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
134
|
Is there a dataset that provides information on the effectiveness of various types of actions taken against international terrorists, such as military strikes or targeted sanctions?
|
{
"query_id": "134",
"original_text": "Is there a dataset that provides information on the effectiveness of various types of actions taken against international terrorists, such as military strikes or targeted sanctions?",
"constraints": [
{
"concept": "policy intervention effectiveness",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "effectiveness of actions taken against international terrorists",
"source_confidence": 0.95
},
{
"concept": "action types",
"field_candidates": [],
"operator": "contains",
"value": "military strikes; targeted sanctions; drone strikes; economic sanctions; targeted financial measures",
"source_confidence": 0.9
},
{
"concept": "target population",
"field_candidates": [],
"operator": "equals",
"value": "international terrorists",
"source_confidence": 0.95
},
{
"concept": "dataset existence",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.92
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"counterterrorism",
"CT operations",
"counter-terrorism measures",
"targeted killings",
"kill/capture operations",
"covert action",
"smart sanctions",
"targeted financial sanctions",
"economic measures",
"drone strikes",
"kinetic operations",
"policy evaluation",
"impact assessment",
"effectiveness metrics",
"success rate",
"deterrence",
"recidivism",
"operational outcomes",
"causal inference"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
135
|
What is the dataset containing information on deaths caused by different types of cancer in the United States over a certain period of time?
|
{
"query_id": "135",
"original_text": "What is the dataset containing information on deaths caused by different types of cancer in the United States over a certain period of time?",
"constraints": [
{
"concept": "dataset topic",
"field_candidates": [],
"operator": "contains",
"value": "cancer deaths",
"source_confidence": 0.98
},
{
"concept": "geographic coverage",
"field_candidates": [],
"operator": "equals",
"value": "United States",
"source_confidence": 0.98
},
{
"concept": "cause granularity",
"field_candidates": [],
"operator": "contains",
"value": "by cancer type",
"source_confidence": 0.92
},
{
"concept": "temporal coverage",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.85
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": ["cancer mortality", "cause-specific mortality", "neoplasm deaths", "mortality rate", "age-adjusted death rate", "SEER", "CDC WONDER", "NVSS", "ICD-10", "cancer site"],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
136
|
Is there a dataset that provides information on cancer-related deaths by age, race, and gender for a particular country or region?
|
{
"query_id": "136",
"original_text": "Is there a dataset that provides information on cancer-related deaths by age, race, and gender for a particular country or region?",
"constraints": [
{
"concept": "dataset existence",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
},
{
"concept": "cause of death / disease",
"field_candidates": [],
"operator": "contains",
"value": "cancer",
"source_confidence": 0.97
},
{
"concept": "measurement type",
"field_candidates": [],
"operator": "contains",
"value": "death counts / mortality rates",
"source_confidence": 0.95
},
{
"concept": "demographic attribute - age",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.93
},
{
"concept": "demographic attribute - race/ethnicity",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.92
},
{
"concept": "demographic attribute - gender/sex",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.93
},
{
"concept": "geographic scope",
"field_candidates": [],
"operator": "contains",
"value": "country or region",
"source_confidence": 0.88
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"cancer mortality",
"cause-specific mortality",
"death by cancer",
"age groups",
"age-stratified",
"ethnicity",
"race breakdown",
"sex",
"male female",
"regional statistics",
"national statistics",
"vital registration",
"mortality dataset",
"public health data"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
137
|
What datasets are available for the pre-clinical research and development of new cancer fighting drugs?
|
{
"query_id": "137",
"original_text": "What datasets are available for the pre-clinical research and development of new cancer fighting drugs?",
"constraints": [
{
"concept": "research stage",
"field_candidates": [],
"operator": "equals",
"value": "pre-clinical research and development",
"source_confidence": 0.96
},
{
"concept": "disease area",
"field_candidates": [],
"operator": "contains",
"value": "cancer",
"source_confidence": 0.97
},
{
"concept": "intervention type",
"field_candidates": [],
"operator": "contains",
"value": "drug|therapeutic|anticancer agent",
"source_confidence": 0.92
},
{
"concept": "data availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.90
},
{
"concept": "dataset types (semantic)",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "in vitro assays, in vivo (animal) efficacy/toxicology, pharmacokinetics/ADME, high-throughput screening, cell-line and organoid models, PDX, biomarker and omics datasets",
"source_confidence": 0.88
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"oncology",
"anticancer",
"chemotherapy",
"targeted therapy",
"immunotherapy",
"preclinical models",
"xenograft",
"patient-derived xenograft (PDX)",
"cell line screens",
"high-throughput screening (HTS)",
"efficacy studies",
"toxicology",
"ADME",
"pharmacokinetics (PK)",
"biomarkers",
"omics",
"drug discovery",
"lead optimization"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
138
|
Can you provide a dataset that compares the effectiveness of different cancer drugs in treating specific types of cancer?
|
{
"query_id": "138",
"original_text": "Can you provide a dataset that compares the effectiveness of different cancer drugs in treating specific types of cancer?",
"constraints": [
{
"concept": "dataset type",
"field_candidates": [],
"operator": "contains",
"value": "comparative effectiveness dataset",
"source_confidence": 0.90
},
{
"concept": "intervention (drug)",
"field_candidates": [],
"operator": "contains",
"value": "cancer drug",
"source_confidence": 0.95
},
{
"concept": "disease (cancer type)",
"field_candidates": [],
"operator": "contains",
"value": "specific cancer types",
"source_confidence": 0.92
},
{
"concept": "outcome measure",
"field_candidates": [],
"operator": "contains",
"value": "treatment effectiveness",
"source_confidence": 0.93
},
{
"concept": "study design / comparison",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "head-to-head comparison, randomized controlled trial, cohort study",
"source_confidence": 0.85
},
{
"concept": "data availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.80
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"drug efficacy",
"treatment response",
"overall survival",
"progression-free survival",
"objective response rate",
"chemotherapy",
"targeted therapy",
"immunotherapy",
"oncology",
"clinical trial",
"head-to-head",
"comparative study",
"real-world evidence"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
139
|
What datasets are available on alternative cancer therapies such as immunotherapy, targeted therapy, or hormone therapy?
|
{
"query_id": "139",
"original_text": "What datasets are available on alternative cancer therapies such as immunotherapy, targeted therapy, or hormone therapy?",
"constraints": [
{
"concept": "disease",
"field_candidates": [],
"operator": "contains",
"value": "cancer",
"source_confidence": 0.98
},
{
"concept": "therapy type",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "immunotherapy, targeted therapy, hormone therapy",
"source_confidence": 0.92
},
{
"concept": "dataset availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"immuno-oncology",
"checkpoint inhibitors",
"CAR-T",
"monoclonal antibodies",
"small molecule inhibitors",
"targeted agents",
"endocrine therapy",
"hormonal therapy",
"clinical trial data",
"cohort studies",
"genomic data",
"transcriptomic",
"treatment outcomes",
"survival data"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
140
|
Are there any datasets on the effectiveness of alternative cancer therapies compared to traditional treatments such as chemotherapy and radiation therapy?
|
{
"query_id": "140",
"original_text": "Are there any datasets on the effectiveness of alternative cancer therapies compared to traditional treatments such as chemotherapy and radiation therapy?",
"constraints": [
{
"concept": "therapy type",
"field_candidates": [],
"operator": "contains",
"value": "alternative cancer therapies",
"source_confidence": 0.94
},
{
"concept": "comparator treatments",
"field_candidates": [],
"operator": "contains",
"value": "chemotherapy and radiation therapy",
"source_confidence": 0.95
},
{
"concept": "treatment effectiveness / outcomes",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "effectiveness (survival, response rates, quality of life, adverse events)",
"source_confidence": 0.9
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"complementary medicine",
"integrative oncology",
"alternative medicine",
"herbal therapy",
"acupuncture",
"comparative effectiveness",
"clinical outcomes",
"survival rate",
"progression-free survival",
"quality of life",
"randomized controlled trial",
"observational study"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
141
|
What datasets exist on the use of complementary and alternative medicine (CAM) in cancer treatment?
|
{
"query_id": "141",
"original_text": "What datasets exist on the use of complementary and alternative medicine (CAM) in cancer treatment?",
"constraints": [
{
"concept": "intervention type",
"field_candidates": [],
"operator": "contains",
"value": "complementary and alternative medicine",
"source_confidence": 0.95
},
{
"concept": "disease/condition",
"field_candidates": [],
"operator": "contains",
"value": "cancer",
"source_confidence": 0.97
},
{
"concept": "resource type",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"integrative medicine",
"complementary therapies",
"alternative therapies",
"acupuncture",
"herbal medicine",
"homeopathy",
"mind-body interventions",
"nutritional supplements",
"oncology",
"cancer patients",
"supportive care",
"palliative care"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
142
|
What are the datasets available on the effectiveness of government anti-smoking actions in reducing smoking rates?
|
{
"query_id": "142",
"original_text": "What are the datasets available on the effectiveness of government anti-smoking actions in reducing smoking rates?",
"constraints": [
{
"concept": "policy intervention",
"field_candidates": [],
"operator": "contains",
"value": "government anti-smoking actions",
"source_confidence": 0.95
},
{
"concept": "outcome measure",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "reduction in smoking rates",
"source_confidence": 0.93
},
{
"concept": "dataset availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"tobacco control policies",
"smoking prevalence",
"quit rates",
"smoking cessation programs",
"taxation on tobacco",
"public smoking bans",
"advertising restrictions",
"health campaigns",
"policy effectiveness",
"prevalence reduction",
"evaluation studies",
"impact assessment"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
143
|
"What datasets are available on the impact of government anti-smoking actions on smoking-related health outcomes?"
|
{
"query_id": "143",
"original_text": "What datasets are available on the impact of government anti-smoking actions on smoking-related health outcomes?",
"constraints": [
{
"concept": "policy intervention",
"field_candidates": [],
"operator": "contains",
"value": "government anti-smoking actions (tobacco control policies, smoking bans, taxation, advertising restrictions, packaging, cessation programs)",
"source_confidence": 0.95
},
{
"concept": "health outcome",
"field_candidates": [],
"operator": "contains",
"value": "smoking-related health outcomes (smoking prevalence, lung cancer, COPD, cardiovascular disease, mortality, hospitalization, morbidity)",
"source_confidence": 0.93
},
{
"concept": "impact/effect measurement",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "impact or effect estimates of policies on health outcomes (causal inference, difference-in-differences, interrupted time series, before-after studies)",
"source_confidence": 0.9
},
{
"concept": "data resource",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"tobacco control",
"smoke-free laws",
"cigarette tax",
"plain packaging",
"cessation programs",
"policy evaluation",
"population health",
"prevalence",
"mortality",
"morbidity",
"lung disease",
"cardiovascular outcomes",
"quasi-experimental",
"effect size",
"public health intervention datasets"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
144
|
Is there a dataset on the use of artificial intelligence in medical decision-making and its ethical implications?
|
{
"query_id": "144",
"original_text": "Is there a dataset on the use of artificial intelligence in medical decision-making and its ethical implications?",
"constraints": [
{
"concept": "resource type",
"field_candidates": [],
"operator": "equals",
"value": "dataset",
"source_confidence": 0.98
},
{
"concept": "topic",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "artificial intelligence in medical decision-making",
"source_confidence": 0.95
},
{
"concept": "ethical considerations",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "ethical implications of AI in healthcare",
"source_confidence": 0.93
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"clinical decision support",
"AI-assisted diagnosis",
"machine learning in healthcare",
"bioethics",
"explainability",
"transparency",
"bias",
"fairness",
"accountability",
"informed consent",
"regulation",
"trustworthy AI",
"clinical AI"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
145
|
Are there datasets available that examine the ethical considerations surrounding gene editing and gene therapy?
|
{
"query_id": "145",
"original_text": "Are there datasets available that examine the ethical considerations surrounding gene editing and gene therapy?",
"constraints": [
{
"concept": "biomedical topic",
"field_candidates": [],
"operator": "contains",
"value": "gene editing",
"source_confidence": 0.96
},
{
"concept": "biomedical topic",
"field_candidates": [],
"operator": "contains",
"value": "gene therapy",
"source_confidence": 0.96
},
{
"concept": "ethical considerations",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "bioethics, ethical issues, informed consent, societal impact",
"source_confidence": 0.92
},
{
"concept": "dataset availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"bioethics",
"ethical issues",
"informed consent",
"regulatory policy",
"CRISPR",
"germline editing",
"somatic gene therapy",
"clinical ethics",
"ethical framework",
"public attitudes",
"societal impact",
"risk-benefit analysis",
"guidelines",
"policy analysis"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
146
|
Can I find a dataset that explores the ethical concerns related to the use of big data in medical research and healthcare delivery?
|
{
"query_id": "146",
"original_text": "Can I find a dataset that explores the ethical concerns related to the use of big data in medical research and healthcare delivery?",
"constraints": [
{
"concept": "resource type",
"field_candidates": [],
"operator": "equals",
"value": "dataset",
"source_confidence": 0.95
},
{
"concept": "ethical topic",
"field_candidates": [],
"operator": "contains",
"value": "ethical concerns (privacy, informed consent, bias, fairness, accountability, governance)",
"source_confidence": 0.93
},
{
"concept": "data technology",
"field_candidates": [],
"operator": "contains",
"value": "big data",
"source_confidence": 0.95
},
{
"concept": "application domain",
"field_candidates": [],
"operator": "contains",
"value": "medical research and healthcare delivery",
"source_confidence": 0.95
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"ethics",
"privacy",
"patient confidentiality",
"data sharing",
"de-identification",
"informed consent",
"algorithmic bias",
"fairness",
"transparency",
"accountability",
"data governance",
"electronic health records",
"clinical research",
"health data surveillance"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
147
|
What are the datasets available on the privatization of state assets?
|
{
"query_id": "147",
"original_text": "What are the datasets available on the privatization of state assets?",
"constraints": [
{
"concept": "topic",
"field_candidates": [],
"operator": "contains",
"value": "privatization of state assets",
"source_confidence": 0.96
},
{
"concept": "dataset existence",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.92
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"privatisation",
"divestiture",
"asset sales",
"state-owned enterprise privatization",
"SOE privatization",
"denationalization",
"public asset disposal",
"sell-off",
"public-private partnership",
"concession"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
148
|
What datasets track the effects of privatization on state assets?
|
{
"query_id": "148",
"original_text": "What datasets track the effects of privatization on state assets?",
"constraints": [
{
"concept": "dataset availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
},
{
"concept": "policy intervention",
"field_candidates": [],
"operator": "contains",
"value": "privatization",
"source_confidence": 0.96
},
{
"concept": "asset ownership",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "state assets",
"source_confidence": 0.92
},
{
"concept": "measured outcome",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "effects of privatization (fiscal impact, asset transfers, SOE performance, employment, efficiency)",
"source_confidence": 0.88
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"divestiture",
"asset sales",
"public asset disposal",
"state-owned enterprises",
"SOE reform",
"asset transfer",
"fiscal impact",
"efficiency",
"employment effects",
"privatisation",
"public sector reform",
"asset valuation"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
149
|
What are the datasets that analyze the impact of privatization on employment rates and economic growth?
|
{
"query_id": "149",
"original_text": "What are the datasets that analyze the impact of privatization on employment rates and economic growth?",
"constraints": [
{
"concept": "economic policy",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "privatization",
"source_confidence": 0.95
},
{
"concept": "employment rate",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.93
},
{
"concept": "economic growth",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.93
},
{
"concept": "study type",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "impact analysis",
"source_confidence": 0.88
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": ["privatisation", "divestiture", "sell-off", "labor market", "unemployment rate", "job creation", "GDP growth", "output growth", "economic performance", "policy reform", "structural adjustment"],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
150
|
What datasets are available on McDonnell Douglas contracts for military aircraft?
|
{
"query_id": "150",
"original_text": "What datasets are available on McDonnell Douglas contracts for military aircraft?",
"constraints": [
{
"concept": "contractor/company",
"field_candidates": [],
"operator": "equals",
"value": "McDonnell Douglas",
"source_confidence": 0.95
},
{
"concept": "document type",
"field_candidates": [],
"operator": "contains",
"value": "contracts",
"source_confidence": 0.93
},
{
"concept": "contract subject / product type",
"field_candidates": [],
"operator": "contains",
"value": "military aircraft",
"source_confidence": 0.92
},
{
"concept": "dataset availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.85
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"McDD",
"McDonnell",
"Douglas Aircraft Company",
"Boeing acquisition",
"defense contractor",
"DoD contracts",
"Federal Procurement Data System",
"contract awards",
"contract modifications",
"procurement records",
"airframe contracts",
"fighter jet",
"F-15",
"F-4 Phantom",
"F/A-18",
"US Air Force",
"Navy"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
151
|
Is there a dataset that provides information on the total value of McDonnell Douglas contracts awarded for military aircraft over time?
|
{
"query_id": "151",
"original_text": "Is there a dataset that provides information on the total value of McDonnell Douglas contracts awarded for military aircraft over time?",
"constraints": [
{
"concept": "organization/company",
"field_candidates": [],
"operator": "equals",
"value": "McDonnell Douglas",
"source_confidence": 0.95
},
{
"concept": "contract subject",
"field_candidates": [],
"operator": "contains",
"value": "military aircraft",
"source_confidence": 0.93
},
{
"concept": "contract monetary value (total)",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
},
{
"concept": "temporal coverage / time series",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
},
{
"concept": "dataset availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.85
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"DoD contracts",
"defense procurement",
"contract amounts",
"contract awards",
"procurement spending",
"fiscal year totals",
"time series data",
"awarded contracts",
"program contracts",
"McDonnell Douglas Aerospace"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
152
|
Are there any datasets that analyze the types of military aircraft produced by McDonnell Douglas under contract and their capabilities and performance?
|
{
"query_id": "152",
"original_text": "Are there any datasets that analyze the types of military aircraft produced by McDonnell Douglas under contract and their capabilities and performance?",
"constraints": [
{
"concept": "manufacturer",
"field_candidates": [],
"operator": "equals",
"value": "McDonnell Douglas",
"source_confidence": 0.98
},
{
"concept": "aircraft category",
"field_candidates": [],
"operator": "contains",
"value": "military aircraft",
"source_confidence": 0.95
},
{
"concept": "production under contract",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.85
},
{
"concept": "performance and capabilities data",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0. nine
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"defense contractor",
"military jets",
"fighters",
"bombers",
"transport aircraft",
"avionics",
"range",
"speed",
"payload",
"thrust-to-weight",
"service ceiling",
"climb rate",
"specifications",
"platform capabilities",
"manufacturing contract"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
153
|
What datasets are available on the human genome project?
|
{
"query_id": "153",
"original_text": "What datasets are available on the human genome project?",
"constraints": [
{
"concept": "research project",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "Human Genome Project",
"source_confidence": 0.98
},
{
"concept": "dataset availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.95
},
{
"concept": "organism",
"field_candidates": [],
"operator": "equals",
"value": "Homo sapiens",
"source_confidence": 0.97
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": ["HGP", "human reference genome", "reference assembly", "genome sequencing", "GRCh38", "GRCh37", "GenBank", "ENA", "NCBI", "UCSC", "dbGaP"],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
154
|
Is there a dataset that provides information on the sequencing and mapping of the human genome, including genetic variations and their association with diseases?
|
{
"query_id": "154",
"original_text": "Is there a dataset that provides information on the sequencing and mapping of the human genome, including genetic variations and their association with diseases?",
"constraints": [
{
"concept": "resource type",
"field_candidates": [],
"operator": "contains",
"value": "dataset",
"source_confidence": 0.95
},
{
"concept": "organism",
"field_candidates": [],
"operator": "equals",
"value": "Homo sapiens",
"source_confidence": 0.98
},
{
"concept": "assay type",
"field_candidates": [],
"operator": "contains",
"value": "genome sequencing",
"source_confidence": 0.96
},
{
"concept": "assay type",
"field_candidates": [],
"operator": "contains",
"value": "genome mapping",
"source_confidence": 0.94
},
{
"concept": "genetic variation",
"field_candidates": [],
"operator": "contains",
"value": "variants (SNPs, indels, structural variants)",
"source_confidence": 0.95
},
{
"concept": "disease association",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.92
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"whole genome sequencing",
"WGS",
"genome assembly",
"variant annotation",
"SNP",
"SNV",
"indel",
"ClinVar",
"GWAS",
"genotype-phenotype",
"pathogenic variant",
"locus mapping"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
155
|
Are there any datasets available that analyze the impact of the human genome project on biomedical research, drug development, and personalized medicine?
|
{
"query_id": "155",
"original_text": "Are there any datasets available that analyze the impact of the human genome project on biomedical research, drug development, and personalized medicine?",
"constraints": [
{
"concept": "project",
"field_candidates": [],
"operator": "equals",
"value": "Human Genome Project",
"source_confidence": 0.98
},
{
"concept": "analysis type",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "impact analysis",
"source_confidence": 0.90
},
{
"concept": "research domain",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "biomedical research",
"source_confidence": 0.92
},
{
"concept": "research domain",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "drug development",
"source_confidence": 0.92
},
{
"concept": "research domain",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "personalized medicine",
"source_confidence": 0.93
},
{
"concept": "dataset availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.95
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"HGP",
"Human Genome Project outcomes",
"genomics impact",
"bibliometrics",
"citation analysis",
"translational research",
"pharmacogenomics",
"precision medicine",
"drug discovery",
"technology transfer",
"policy impact",
"research metrics"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
156
|
"What datasets are available on trends in productivity in the U.S. economy?"
|
{
"query_id": "156",
"original_text": "What datasets are available on trends in productivity in the U.S. economy?",
"constraints": [
{
"concept": "resource type",
"field_candidates": [],
"operator": "equals",
"value": "dataset",
"source_confidence": 0.95
},
{
"concept": "economic concept",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "productivity trends",
"source_confidence": 0.94
},
{
"concept": "geographic scope",
"field_candidates": [],
"operator": "equals",
"value": "United States",
"source_confidence": 0.98
},
{
"concept": "temporal characteristic",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.90
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"labor productivity",
"total factor productivity",
"productivity growth",
"productivity time series",
"GDP per hour worked",
"productivity index",
"BLS",
"BEA",
"Federal Reserve",
"sector productivity",
"productivity statistics"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
157
|
What datasets are available on productivity trends in the U.S. economy?
|
{
"query_id": "157",
"original_text": "What datasets are available on productivity trends in the U.S. economy?",
"constraints": [
{
"concept": "economic indicator",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "productivity trends",
"source_confidence": 0.96
},
{
"concept": "geographic scope",
"field_candidates": [],
"operator": "contains",
"value": "United States",
"source_confidence": 0.98
},
{
"concept": "data type",
"field_candidates": [],
"operator": "equals",
"value": "dataset",
"source_confidence": 0.95
},
{
"concept": "temporal coverage",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.80
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"total factor productivity",
"labor productivity",
"productivity growth",
"output per hour",
"TFP",
"multifactor productivity",
"productivity time series",
"BLS",
"BEA",
"FRED",
"OECD",
"World Bank"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
158
|
Are there any datasets available that analyze the factors driving productivity growth in the U.S. economy, such as technological innovation, workforce demographics, and government policies?
|
{
"query_id": "158",
"original_text": "Are there any datasets available that analyze the factors driving productivity growth in the U.S. economy, such as technological innovation, workforce demographics, and government policies?",
"constraints": [
{
"concept": "economic topic",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "productivity growth",
"source_confidence": 0.96
},
{
"concept": "geographic scope",
"field_candidates": [],
"operator": "equals",
"value": "United States",
"source_confidence": 0.97
},
{
"concept": "dataset availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
},
{
"concept": "driver - technological innovation",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "technological innovation (R&D, patents, technology adoption)",
"source_confidence": 0.9
},
{
"concept": "driver - workforce demographics",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "workforce demographics (age, education, labor force participation, immigration)",
"source_confidence": 0.9
},
{
"concept": "driver - government policies",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "government policies (fiscal, regulatory, education, industrial policy)",
"source_confidence": 0.9
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"total factor productivity",
"labor productivity",
"TFP",
"R&D spending",
"patent counts",
"technology adoption",
"human capital",
"education level",
"age structure",
"labor force participation",
"immigration",
"fiscal policy",
"regulation",
"industrial policy",
"productivity drivers",
"economic growth",
"causal analysis",
"econometric datasets"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
159
|
Is there a dataset that provides information on the frequency and types of industrial espionage incidents reported by different industries and countries?
|
{
"query_id": "159",
"original_text": "Is there a dataset that provides information on the frequency and types of industrial espionage incidents reported by different industries and countries?",
"constraints": [
{
"concept": "topic",
"field_candidates": [],
"operator": "contains",
"value": "industrial espionage incidents",
"source_confidence": 0.96
},
{
"concept": "incident frequency",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.92
},
{
"concept": "incident types",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.92
},
{
"concept": "industry breakdown",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
},
{
"concept": "country breakdown",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
},
{
"concept": "dataset availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.85
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"corporate espionage",
"economic espionage",
"trade secret theft",
"IP theft",
"corporate spying",
"reported incidents",
"sectoral breakdown",
"country-level data",
"cross-national comparison"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
160
|
Are there any datasets that analyze the economic impact of industrial espionage on affected industries?
|
{
"query_id": "160",
"original_text": "Are there any datasets that analyze the economic impact of industrial espionage on affected industries?",
"constraints": [
{
"concept": "resource type",
"field_candidates": [],
"operator": "equals",
"value": "dataset",
"source_confidence": 0.98
},
{
"concept": "topic",
"field_candidates": [],
"operator": "contains",
"value": "industrial espionage",
"source_confidence": 0.95
},
{
"concept": "economic impact",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "economic impact",
"source_confidence": 0.92
},
{
"concept": "industry-level analysis",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.86
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"corporate espionage",
"economic loss",
"financial impact",
"intellectual property theft",
"trade secrets",
"sectoral effects",
"firm-level losses",
"industry sectors",
"costs of espionage",
"economic damages"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
161
|
"What datasets are available on sources of funding for political campaigns in the US?"
|
{
"query_id": "161",
"original_text": "What datasets are available on sources of funding for political campaigns in the US?",
"constraints": [
{
"concept": "resource type",
"field_candidates": [],
"operator": "equals",
"value": "dataset",
"source_confidence": 0.94
},
{
"concept": "funding source",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "sources of funding for political campaigns",
"source_confidence": 0.93
},
{
"concept": "geographic scope",
"field_candidates": [],
"operator": "contains",
"value": "United States",
"source_confidence": 0.96
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"campaign contributions",
"political donations",
"donor reports",
"PAC contributions",
"individual donors",
"Federal Election Commission",
"campaign finance disclosure",
"fundraising",
"election spending"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
162
|
Can you provide a dataset on the amount of money spent on political campaigns in the US by year and candidate/party?
|
{
"query_id": "162",
"original_text": "Can you provide a dataset on the amount of money spent on political campaigns in the US by year and candidate/party?",
"constraints": [
{
"concept": "dataset existence",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
},
{
"concept": "campaign finance amount",
"field_candidates": [],
"operator": "contains",
"value": "amount of money spent on political campaigns",
"source_confidence": 0.97
},
{
"concept": "geographic scope",
"field_candidates": [],
"operator": "contains",
"value": "United States",
"source_confidence": 0.98
},
{
"concept": "temporal granularity",
"field_candidates": [],
"operator": "equals",
"value": "yearly",
"source_confidence": 0.95
},
{
"concept": "entity granularity",
"field_candidates": [],
"operator": "contains",
"value": "candidate/party",
"source_confidence": 0.93
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"campaign finance",
"political spending",
"campaign contributions",
"expenditures",
"election cycle",
"donations",
"PAC spending",
"federal election commission",
"FEC",
"candidate contributions"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
163
|
Is there a dataset that provides information on the demographics and offenses of inmates in overcrowded prisons?
|
{
"query_id": "163",
"original_text": "Is there a dataset that provides information on the demographics and offenses of inmates in overcrowded prisons?",
"constraints": [
{
"concept": "subject",
"field_candidates": [],
"operator": "contains",
"value": "inmates/prisons",
"source_confidence": 0.95
},
{
"concept": "facility condition",
"field_candidates": [],
"operator": "contains",
"value": "overcrowded",
"source_confidence": 0.9
},
{
"concept": "demographic data",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.95
},
{
"concept": "offense records",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.95
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"prison population",
"inmate characteristics",
"age, gender, race",
"criminal convictions",
"charges",
"sentence information",
"occupancy rate",
"capacity",
"corrections data",
"penal institutions"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
164
|
Are there any datasets available that analyze the effectiveness of different strategies for reducing prison overcrowding?
|
{
"query_id": "164",
"original_text": "Are there any datasets available that analyze the effectiveness of different strategies for reducing prison overcrowding?",
"constraints": [
{
"concept": "topic",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "prison overcrowding",
"source_confidence": 0.95
},
{
"concept": "study type",
"field_candidates": [],
"operator": "contains",
"value": "effectiveness evaluation",
"source_confidence": 0.90
},
{
"concept": "intervention type",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "decarceration; sentencing reform; parole expansion; diversion programs; bail reform; community corrections; alternative sentencing; early release",
"source_confidence": 0.88
},
{
"concept": "dataset availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.90
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"prison population reduction",
"capacity management",
"impact evaluation",
"recidivism rates",
"policy evaluation",
"criminal justice reform",
"release programs",
"alternatives to incarceration",
"bail reform",
"community supervision"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
165
|
What are the available datasets on insurance coverage for long-term care in the United States?
|
{
"query_id": "165",
"original_text": "What are the available datasets on insurance coverage for long-term care in the United States?",
"constraints": [
{
"concept": "subject",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "insurance coverage for long-term care",
"source_confidence": 0.95
},
{
"concept": "care type",
"field_candidates": [],
"operator": "contains",
"value": "long-term care",
"source_confidence": 0.94
},
{
"concept": "geographic location",
"field_candidates": [],
"operator": "contains",
"value": "United States",
"source_confidence": 0.98
},
{
"concept": "dataset availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"long-term services and supports",
"LTSS",
"nursing home insurance",
"home care coverage",
"Medicaid long-term care",
"private long-term care insurance",
"claims data",
"administrative data",
"surveys",
"coverage rates",
"beneficiary",
"caregiver support"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
166
|
Is there a dataset that provides information on the types of insurance policies that cover long-term care?
|
{
"query_id": "166",
"original_text": "Is there a dataset that provides information on the types of insurance policies that cover long-term care?",
"constraints": [
{
"concept": "insurance policy type",
"field_candidates": [],
"operator": "contains",
"value": "insurance policy types",
"source_confidence": 0.95
},
{
"concept": "coverage area",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "long-term care",
"source_confidence": 0.96
},
{
"concept": "dataset availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.90
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": ["long-term care insurance", "LTC insurance", "nursing home coverage", "home care coverage", "policy benefits", "insurance plans", "Medicaid", "private LTCi", "hybrid policies", "annuities", "benefit triggers"],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
167
|
Are there any datasets that analyze the affordability and accessibility of long-term care insurance coverage?
|
{
"query_id": "167",
"original_text": "Are there any datasets that analyze the affordability and accessibility of long-term care insurance coverage?",
"constraints": [
{
"concept": "insurance type",
"field_candidates": [],
"operator": "contains",
"value": "long-term care insurance",
"source_confidence": 0.96
},
{
"concept": "affordability",
"field_candidates": [],
"operator": "contains",
"value": "affordability",
"source_confidence": 0.90
},
{
"concept": "accessibility",
"field_candidates": [],
"operator": "contains",
"value": "accessibility",
"source_confidence": 0.90
},
{
"concept": "dataset existence",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.80
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"LTC insurance",
"long term care coverage",
"coverage access",
"premium affordability",
"financial accessibility",
"eligibility barriers",
"nursing home insurance",
"long-term services and supports",
"LTSS",
"out-of-pocket costs"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
168
|
What datasets are available on the environmental impact of oil spills?
|
{
"query_id": "168",
"original_text": "What datasets are available on the environmental impact of oil spills?",
"constraints": [
{
"concept": "incident type",
"field_candidates": [],
"operator": "contains",
"value": "oil spill",
"source_confidence": 0.98
},
{
"concept": "environmental impact",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "environmental impact",
"source_confidence": 0.93
},
{
"concept": "dataset presence",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"oil spill datasets",
"petroleum spill",
"marine pollution",
"coastal contamination",
"ecological impact",
"wildlife mortality",
"toxicology",
"remediation",
"oil slick",
"environmental monitoring"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
169
|
Is there a dataset on the frequency and severity of oil spills in a particular region?
|
{
"query_id": "169",
"original_text": "Is there a dataset on the frequency and severity of oil spills in a particular region?",
"constraints": [
{
"concept": "environmental incident type",
"field_candidates": [],
"operator": "contains",
"value": "oil spills",
"source_confidence": 0.96
},
{
"concept": "measurement - frequency",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.91
},
{
"concept": "measurement - severity",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.91
},
{
"concept": "geographic scope",
"field_candidates": [],
"operator": "exists",
"value": "particular region",
"source_confidence": 0.85
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": ["petroleum release", "spill incidents", "spill frequency", "spill severity", "spill volume", "ecological impact", "marine oil spill", "terrestrial oil contamination", "incident reports", "spatio-temporal", "region-specific", "GIS"],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
170
|
"What datasets are available on recent statistics of gun violence incidents in the United States?"
|
{
"query_id": "170",
"original_text": "What datasets are available on recent statistics of gun violence incidents in the United States?",
"constraints": [
{
"concept": "data type",
"field_candidates": [],
"operator": "equals",
"value": "datasets",
"source_confidence": 0.95
},
{
"concept": "subject matter",
"field_candidates": [],
"operator": "contains",
"value": "gun violence incidents",
"source_confidence": 0.98
},
{
"concept": "geographic scope",
"field_candidates": [],
"operator": "contains",
"value": "United States",
"source_confidence": 0.99
},
{
"concept": "timeframe",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "recent",
"source_confidence": 0.78
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"firearm incidents",
"shootings",
"firearm-related deaths",
"mass shootings",
"gun crime statistics",
"firearm injury data",
"Gun Violence Archive",
"CDC WISQARS",
"CDC NVSS",
"FBI UCR",
"state-level gun violence datasets",
"gunshot victims",
"nonfatal firearm injury"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
171
|
"What datasets are available on arguments for and against gun control legislation in the United States?"
|
{
"query_id": "171",
"original_text": "What datasets are available on arguments for and against gun control legislation in the United States?",
"constraints": [
{
"concept": "resource type",
"field_candidates": [],
"operator": "equals",
"value": "dataset",
"source_confidence": 0.9
},
{
"concept": "policy topic",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "gun control legislation",
"source_confidence": 0.96
},
{
"concept": "argument stance",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "arguments for and against",
"source_confidence": 0.92
},
{
"concept": "geographic scope",
"field_candidates": [],
"operator": "equals",
"value": "United States",
"source_confidence": 0.95
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"gun policy",
"firearm regulation",
"pro-gun control",
"anti-gun control",
"policy debate",
"public opinion",
"legislative bills",
"advocacy",
"lobbying",
"policy arguments",
"stance data"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
172
|
What datasets are available on gun sales, gun ownership, and gun violence incidents in the United States?
|
{
"query_id": "172",
"original_text": "What datasets are available on gun sales, gun ownership, and gun violence incidents in the United States?",
"constraints": [
{
"concept": "dataset topic",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "gun sales; gun ownership; gun violence incidents",
"source_confidence": 0.95
},
{
"concept": "geographic scope",
"field_candidates": [],
"operator": "equals",
"value": "United States",
"source_confidence": 0.99
},
{
"concept": "dataset availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.88
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"firearm sales",
"background checks",
"NICS",
"firearm ownership rates",
"household gun ownership",
"gun prevalence",
"firearm homicides",
"mass shootings",
"shooting incidents",
"gun-related injuries",
"gun mortality",
"firearm violence datasets",
"crime incidents",
"criminal justice data"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
173
|
Is there a dataset that provides information on the genetic, environmental, and lifestyle factors that contribute to the development of MS?
|
{
"query_id": "173",
"original_text": "Is there a dataset that provides information on the genetic, environmental, and lifestyle factors that contribute to the development of MS?",
"constraints": [
{
"concept": "disease",
"field_candidates": [],
"operator": "equals",
"value": "multiple sclerosis",
"source_confidence": 0.98
},
{
"concept": "genetic factors",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.94
},
{
"concept": "environmental factors",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.92
},
{
"concept": "lifestyle factors",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.92
},
{
"concept": "disease development / risk factors",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "risk factors, etiology, contributors to disease onset",
"source_confidence": 0.85
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"MS",
"multiple sclerosis",
"neurological disorder",
"risk factors",
"etiology",
"genetics",
"GWAS",
"SNPs",
"heritability",
"environmental exposures",
"vitamin D",
"sunlight",
"smoking",
"infection",
"EBV",
"lifestyle",
"diet",
"physical activity",
"obesity",
"alcohol",
"cohort study",
"case-control",
"epidemiology"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
174
|
Are there any datasets available that analyze the socioeconomic impact of MS?
|
{
"query_id": "174",
"original_text": "Are there any datasets available that analyze the socioeconomic impact of MS?",
"constraints": [
{
"concept": "disease",
"field_candidates": [],
"operator": "equals",
"value": "multiple sclerosis",
"source_confidence": 0.93
},
{
"concept": "socioeconomic impact",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "socioeconomic impact (costs, employment, productivity loss, quality of life, healthcare utilization, caregiver burden)",
"source_confidence": 0.9
},
{
"concept": "dataset availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.96
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"economic burden",
"cost-of-illness",
"health economics",
"employment outcomes",
"income loss",
"productivity",
"quality of life",
"healthcare costs",
"caregiver impact",
"direct costs",
"indirect costs"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
175
|
"What datasets are available on the latest trends in electric car development?"
|
{
"query_id": "175",
"original_text": "What datasets are available on the latest trends in electric car development?",
"constraints": [
{
"concept": "resource type",
"field_candidates": [],
"operator": "equals",
"value": "dataset",
"source_confidence": 0.98
},
{
"concept": "topic",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "electric car development",
"source_confidence": 0.95
},
{
"concept": "temporal recency",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "latest trends",
"source_confidence": 0.80
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"electric vehicle",
"EV",
"battery technology",
"range",
"charging infrastructure",
"motor efficiency",
"battery management systems",
"vehicle design",
"manufacturing",
"supply chain",
"market adoption",
"policy and regulation",
"vehicle-to-grid",
"battery recycling",
"autonomous driving integration"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
176
|
Is there a dataset that provides information on the growth and market share of electric cars, broken down by manufacturer, model, and region?
|
{
"query_id": "176",
"original_text": "Is there a dataset that provides information on the growth and market share of electric cars, broken down by manufacturer, model, and region?",
"constraints": [
{
"concept": "subject/topic",
"field_candidates": [],
"operator": "contains",
"value": "electric cars",
"source_confidence": 0.95
},
{
"concept": "metric - growth",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
},
{
"concept": "metric - market share",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
},
{
"concept": "breakdown - manufacturer",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
},
{
"concept": "breakdown - model",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
},
{
"concept": "breakdown - region",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"EV",
"electric vehicle",
"battery electric vehicle",
"plug-in hybrid",
"sales",
"registrations",
"market penetration",
"market share by country",
"market share by state",
"OEM",
"brand",
"make",
"model-level sales",
"geographic breakdown",
"time series",
"CAGR",
"units sold",
"market share percentage"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
177
|
Are there any datasets available that analyze the technological advancements and innovations in electric car production?
|
{
"query_id": "177",
"original_text": "Are there any datasets available that analyze the technological advancements and innovations in electric car production?",
"constraints": [
{
"concept": "dataset availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
},
{
"concept": "research topic",
"field_candidates": [],
"operator": "contains",
"value": "electric car production",
"source_confidence": 0.95
},
{
"concept": "analysis focus",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "technological advancements and innovations",
"source_confidence": 0.9
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"electric vehicle manufacturing",
"EV production",
"battery manufacturing",
"gigafactory",
"assembly line automation",
"production technology",
"manufacturing innovation",
"technology adoption",
"industry 4.0",
"production scaling"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
178
|
"What datasets are available on the sources of acid rain?"
|
{
"query_id": "178",
"original_text": "What datasets are available on the sources of acid rain?",
"constraints": [
{
"concept": "data resource type",
"field_candidates": [],
"operator": "equals",
"value": "dataset",
"source_confidence": 0.96
},
{
"concept": "environmental topic",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "sources of acid rain",
"source_confidence": 0.92
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": ["acid deposition", "acidic deposition", "SO2 emissions", "NOx emissions", "sulfur dioxide", "nitrogen oxides", "emission inventories", "industrial emissions", "power plants", "atmospheric deposition", "air pollution sources"],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
179
|
Is there a dataset that provides information on the sources and distribution of acid rain?
|
{
"query_id": "179",
"original_text": "Is there a dataset that provides information on the sources and distribution of acid rain?",
"constraints": [
{
"concept": "pollution type",
"field_candidates": [],
"operator": "contains",
"value": "acid rain",
"source_confidence": 0.96
},
{
"concept": "data content - sources",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
},
{
"concept": "data content - distribution (spatial/temporal)",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"acid deposition",
"pH of precipitation",
"sulfur dioxide",
"nitrogen oxides",
"emissions inventory",
"source attribution",
"spatial mapping",
"deposition patterns",
"monitoring networks",
"wet and dry deposition"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
180
|
Are there any datasets available that analyze the policy responses and mitigation strategies for acid rain?
|
{
"query_id": "180",
"original_text": "Are there any datasets available that analyze the policy responses and mitigation strategies for acid rain?",
"constraints": [
{
"concept": "environmental issue",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "acid rain",
"source_confidence": 0.98
},
{
"concept": "policy analysis",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "policy responses",
"source_confidence": 0.90
},
{
"concept": "mitigation strategies",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "mitigation strategies",
"source_confidence": 0.90
},
{
"concept": "dataset availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.88
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": ["acid deposition", "acidification", "sulfur dioxide", "nitrogen oxides", "emission controls", "regulatory policy", "abatement", "liming", "air pollution policy", "policy evaluation", "transboundary pollution"],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
181
|
What datasets are available on automobile recalls in the United States?
|
{
"query_id": "181",
"original_text": "What datasets are available on automobile recalls in the United States?",
"constraints": [
{
"concept": "topic",
"field_candidates": [],
"operator": "contains",
"value": "automobile recalls",
"source_confidence": 0.96
},
{
"concept": "geographic coverage",
"field_candidates": [],
"operator": "equals",
"value": "United States",
"source_confidence": 0.98
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": ["vehicle recalls", "car recalls", "NHTSA recalls", "safety recall", "manufacturer recall database", "recall notices", "defect investigations"],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
182
|
What data is available on the causes of automobile recalls?
|
{
"query_id": "182",
"original_text": "What data is available on the causes of automobile recalls?",
"constraints": [
{
"concept": "topic",
"field_candidates": [],
"operator": "contains",
"value": "automobile recalls",
"source_confidence": 0.95
},
{
"concept": "recall cause",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
},
{
"concept": "dataset availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.85
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"vehicle recalls",
"auto safety recall",
"recall reasons",
"defect reports",
"safety defects",
"manufacturer recall",
"NHTSA",
"faulty component",
"root cause"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
183
|
Are there any datasets on the financial impact of automobile recalls on manufacturers?
|
{
"query_id": "183",
"original_text": "Are there any datasets on the financial impact of automobile recalls on manufacturers?",
"constraints": [
{
"concept": "topic",
"field_candidates": [],
"operator": "contains",
"value": "automobile recalls",
"source_confidence": 0.96
},
{
"concept": "impact type",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "financial impact (costs, revenue changes, stock price effects, legal settlements)",
"source_confidence": 0.92
},
{
"concept": "subject",
"field_candidates": [],
"operator": "contains",
"value": "manufacturers",
"source_confidence": 0.94
},
{
"concept": "dataset availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.85
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"recall cost",
"warranty expenses",
"recall-related liability",
"OEM financials",
"automaker losses",
"stock market impact",
"revenue decline",
"regulatory fines",
"recall dataset",
"vehicle recall economics"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
184
|
"What datasets are available on the long-term health effects of Agent Orange exposure among Vietnam veterans?"
|
{
"query_id": "184",
"original_text": "What datasets are available on the long-term health effects of Agent Orange exposure among Vietnam veterans?",
"constraints": [
{
"concept": "chemical agent exposure",
"field_candidates": [],
"operator": "contains",
"value": "Agent Orange / TCDD (dioxin)",
"source_confidence": 0.95
},
{
"concept": "population",
"field_candidates": [],
"operator": "contains",
"value": "Vietnam veterans",
"source_confidence": 0.96
},
{
"concept": "health outcome timeframe",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "long-term health effects",
"source_confidence": 0.92
},
{
"concept": "dataset availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"dioxin",
"TCDD",
"2,4,5-T",
"veteran health",
"longitudinal study",
"epidemiology",
"cancer incidence",
"birth defects",
"neurological disorders",
"Agent Orange Registry",
"Vietnam War exposure",
"post-service health outcomes"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
185
|
"What datasets are available on health problems associated with Agent Orange exposure among Vietnam veterans?"
|
{
"query_id": "185",
"original_text": "What datasets are available on health problems associated with Agent Orange exposure among Vietnam veterans?",
"constraints": [
{
"concept": "exposure agent",
"field_candidates": [],
"operator": "equals",
"value": "Agent Orange",
"source_confidence": 0.98
},
{
"concept": "population",
"field_candidates": [],
"operator": "contains",
"value": "Vietnam veterans",
"source_confidence": 0.95
},
{
"concept": "health outcomes",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "health problems, diseases, adverse health effects",
"source_confidence": 0.92
},
{
"concept": "resource type",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"dioxin",
"TCDD",
"2,4,5-T",
"herbicide exposure",
"veteran health",
"service-related illness",
"cancer",
"birth defects",
"neurological disorders",
"epidemiology",
"cohort study",
"Veterans Affairs",
"VA studies",
"exposure registry"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
186
|
"What datasets are available on the areas of Vietnam that were heavily sprayed with Agent Orange during the war?"
|
{
"query_id": "186",
"original_text": "What datasets are available on the areas of Vietnam that were heavily sprayed with Agent Orange during the war?",
"constraints": [
{
"concept": "chemical agent",
"field_candidates": [],
"operator": "contains",
"value": "Agent Orange",
"source_confidence": 0.98
},
{
"concept": "geographic region",
"field_candidates": [],
"operator": "contains",
"value": "Vietnam",
"source_confidence": 0.99
},
{
"concept": "spray intensity / exposure area",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "heavily sprayed areas",
"source_confidence": 0.9
},
{
"concept": "time period",
"field_candidates": [],
"operator": "contains",
"value": "Vietnam War",
"source_confidence": 0.9
},
{
"concept": "data presence",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.95
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"dioxin",
"TCDD",
"herbicide spray maps",
"spray records",
"Operation Ranch Hand",
"defoliation",
"contaminated sites",
"exposure hotspots",
"Agent Orange maps",
"ecological impact",
"health outcomes",
"1960s-1970s"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
187
|
"What datasets are available on the correlation between tobacco advertising exposure and youth smoking rates?"
|
{
"query_id": "187",
"original_text": "What datasets are available on the correlation between tobacco advertising exposure and youth smoking rates?",
"constraints": [
{
"concept": "resource type",
"field_candidates": [],
"operator": "equals",
"value": "dataset",
"source_confidence": 0.95
},
{
"concept": "exposure type",
"field_candidates": [],
"operator": "contains",
"value": "tobacco advertising exposure",
"source_confidence": 0.96
},
{
"concept": "population",
"field_candidates": [],
"operator": "contains",
"value": "youth (adolescents, teenagers)",
"source_confidence": 0.94
},
{
"concept": "outcome measure",
"field_candidates": [],
"operator": "contains",
"value": "smoking rates (prevalence, initiation)",
"source_confidence": 0.93
},
{
"concept": "relationship",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "correlation",
"source_confidence": 0.90
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"tobacco marketing",
"advertising exposure",
"ad recall",
"media exposure",
"youth smoking prevalence",
"smoking initiation",
"adolescents",
"teen smoking",
"exposure-response",
"cross-sectional surveys",
"longitudinal studies",
"public health surveillance",
"policy evaluation"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
188
|
Is there a dataset that provides information on the health effects of Agent Orange exposure among U.S. military personnel who served in Vietnam?
|
{
"query_id": "188",
"original_text": "Is there a dataset that provides information on the health effects of Agent Orange exposure among U.S. military personnel who served in Vietnam?",
"constraints": [
{
"concept": "exposure agent",
"field_candidates": [],
"operator": "contains",
"value": "Agent Orange",
"source_confidence": 0.98
},
{
"concept": "population",
"field_candidates": [],
"operator": "contains",
"value": "U.S. military personnel who served in Vietnam",
"source_confidence": 0.96
},
{
"concept": "health outcome",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "health effects",
"source_confidence": 0.92
},
{
"concept": "dataset availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.90
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"dioxin",
"TCDD",
"herbicide exposure",
"Vietnam veterans",
"veteran health",
"long-term health outcomes",
"cancer",
"birth defects",
"neuropathy",
"Agent Orange Registry",
"VA studies"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
189
|
Are there any datasets available that analyze the compensation and benefits provided to Vietnam veterans and their families who have been affected by Agent Orange exposure?
|
{
"query_id": "189",
"original_text": "Are there any datasets available that analyze the compensation and benefits provided to Vietnam veterans and their families who have been affected by Agent Orange exposure?",
"constraints": [
{
"concept": "topic",
"field_candidates": [],
"operator": "contains",
"value": "compensation and benefits",
"source_confidence": 0.95
},
{
"concept": "exposure agent",
"field_candidates": [],
"operator": "equals",
"value": "Agent Orange",
"source_confidence": 0.98
},
{
"concept": "population",
"field_candidates": [],
"operator": "contains",
"value": "Vietnam veterans and their families",
"source_confidence": 0.96
},
{
"concept": "dataset availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.85
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": ["dioxin", "Agent Orange exposure", "veterans benefits", "VA compensation", "disability benefits", "Vietnam War veterans", "survivors", "family compensation", "health-related benefits", "policy analysis"],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
190
|
What datasets are available on standardized testing and cultural bias?
|
{
"query_id": "190",
"original_text": "What datasets are available on standardized testing and cultural bias?",
"constraints": [
{
"concept": "standardized testing",
"field_candidates": [],
"operator": "contains",
"value": "standardized testing",
"source_confidence": 0.95
},
{
"concept": "cultural bias",
"field_candidates": [],
"operator": "contains",
"value": "cultural bias",
"source_confidence": 0.93
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"standardized assessments",
"educational testing",
"psychometric testing",
"test bias",
"cultural fairness",
"measurement invariance",
"differential item functioning",
"cross-cultural validity",
"bias in exams",
"assessment equity"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
191
|
Are there any datasets that explore the relationship between cultural bias and standardized testing?
|
{
"query_id": "191",
"original_text": "Are there any datasets that explore the relationship between cultural bias and standardized testing?",
"constraints": [
{
"concept": "cultural bias",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "cultural bias",
"source_confidence": 0.95
},
{
"concept": "standardized testing",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "standardized testing",
"source_confidence": 0.95
},
{
"concept": "study focus",
"field_candidates": [],
"operator": "contains",
"value": "relationship between cultural bias and standardized testing",
"source_confidence": 0.90
},
{
"concept": "dataset existence",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.85
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"test bias",
"measurement bias",
"educational assessment",
"test fairness",
"equity in testing",
"psychometrics",
"differential item functioning",
"socioeconomic status",
"racial bias",
"assessment validity"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
192
|
Can you recommend any datasets on the impact of cultural bias on standardized testing scores?
|
{
"query_id": "192",
"original_text": "Can you recommend any datasets on the impact of cultural bias on standardized testing scores?",
"constraints": [
{
"concept": "resource type",
"field_candidates": [],
"operator": "equals",
"value": "dataset",
"source_confidence": 0.96
},
{
"concept": "sociocultural factor",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "cultural bias",
"source_confidence": 0.93
},
{
"concept": "measurement type",
"field_candidates": [],
"operator": "contains",
"value": "standardized test scores",
"source_confidence": 0.94
},
{
"concept": "relationship",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "impact/effect/association",
"source_confidence": 0.85
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"test bias",
"cultural fairness",
"educational assessment",
"score disparities",
"measurement bias",
"cross-cultural validity",
"standardized exams",
"item bias",
"differential item functioning",
"ethnic bias",
"socioeconomic disparities"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
193
|
What datasets are available on the financial performance of AMTRAK and its funding sources?
|
{
"query_id": "193",
"original_text": "What datasets are available on the financial performance of AMTRAK and its funding sources?",
"constraints": [
{
"concept": "organization",
"field_candidates": [],
"operator": "equals",
"value": "AMTRAK",
"source_confidence": 0.99
},
{
"concept": "financial performance",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "financial performance (revenues, expenses, profitability, operating ratio, farebox recovery)",
"source_confidence": 0.93
},
{
"concept": "funding sources",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.92
},
{
"concept": "data type",
"field_candidates": [],
"operator": "contains",
"value": "dataset",
"source_confidence": 0.9
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"Amtrak financials",
"National Railroad Passenger Corporation",
"revenues",
"expenses",
"operating income",
"net income",
"operating ratio",
"farebox recovery",
"subsidies",
"federal funding",
"state funding",
"grants",
"appropriations",
"capital grants",
"operating grants",
"audited financial statements",
"annual report",
"ridership revenue",
"ticket sales",
"budget"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
194
|
Can you recommend any datasets that explore the effectiveness of different financing models for AMTRAK?
|
{
"query_id": "194",
"original_text": "Can you recommend any datasets that explore the effectiveness of different financing models for AMTRAK?",
"constraints": [
{
"concept": "organization",
"field_candidates": [],
"operator": "contains",
"value": "AMTRAK",
"source_confidence": 0.98
},
{
"concept": "financial topic",
"field_candidates": [],
"operator": "contains",
"value": "financing models",
"source_confidence": 0.92
},
{
"concept": "evaluation focus",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "effectiveness evaluation",
"source_confidence": 0.89
},
{
"concept": "data availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"funding models",
"public-private partnership",
"PPP",
"federal subsidies",
"farebox recovery",
"capital financing",
"revenue models",
"transportation funding",
"cost-benefit analysis",
"performance evaluation",
"ridership",
"operating subsidies"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
195
|
"What datasets are available on the major sources of revenue for AMTRAK besides federal funding?"
|
{
"query_id": "195",
"original_text": "What datasets are available on the major sources of revenue for AMTRAK besides federal funding?",
"constraints": [
{
"concept": "organization",
"field_candidates": [],
"operator": "equals",
"value": "AMTRAK",
"source_confidence": 0.98
},
{
"concept": "revenue source",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.95
},
{
"concept": "federal funding",
"field_candidates": [],
"operator": "exists",
"value": false,
"source_confidence": 0.93
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"Amtrak revenue",
"Amtrak income",
"ticket revenue",
"passenger fares",
"state support",
"operating revenue",
"ancillary revenue",
"concessions",
"real estate income",
"commercial revenue",
"private funding",
"grants",
"service contracts"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
196
|
What datasets are available on the cost of garbage/trash removal in different cities around the world?
|
{
"query_id": "196",
"original_text": "What datasets are available on the cost of garbage/trash removal in different cities around the world?",
"constraints": [
{
"concept": "service cost",
"field_candidates": [],
"operator": "contains",
"value": "cost of garbage removal",
"source_confidence": 0.96
},
{
"concept": "geographic scope",
"field_candidates": [],
"operator": "contains",
"value": "cities around the world",
"source_confidence": 0.92
},
{
"concept": "dataset availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"trash collection fee",
"waste collection charges",
"refuse removal cost",
"municipal solid waste fees",
"sanitation fees",
"tipping fees",
"collection tariffs",
"solid waste disposal cost",
"garbage pickup pricing",
"city waste management costs"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
197
|
Are there any datasets that explore the relationship between the cost of garbage/trash removal and local recycling initiatives?
|
{
"query_id": "197",
"original_text": "Are there any datasets that explore the relationship between the cost of garbage/trash removal and local recycling initiatives?",
"constraints": [
{
"concept": "waste removal cost",
"field_candidates": [],
"operator": "contains",
"value": "cost of garbage/trash removal",
"source_confidence": 0.95
},
{
"concept": "local recycling initiatives",
"field_candidates": [],
"operator": "contains",
"value": "local recycling initiatives",
"source_confidence": 0.94
},
{
"concept": "relationship between variables",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "relationship between waste removal cost and recycling initiatives",
"source_confidence": 0.88
},
{
"concept": "dataset availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"waste collection fees",
"trash collection costs",
"municipal waste charges",
"pay-as-you-throw",
"recycling programs",
"curbside recycling",
"recycling participation",
"incentive programs",
"diversion rate",
"solid waste management"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
198
|
Can you recommend any datasets on the economic impact of reducing waste through improved garbage/trash removal practices?
|
{
"query_id": "198",
"original_text": "Can you recommend any datasets on the economic impact of reducing waste through improved garbage/trash removal practices?",
"constraints": [
{
"concept": "economic impact",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "economic impact of waste reduction",
"source_confidence": 0.94
},
{
"concept": "intervention / practice",
"field_candidates": [],
"operator": "contains",
"value": "improved garbage/trash removal practices",
"source_confidence": 0. nine
},
{
"concept": "dataset availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.97
},
{
"concept": "economic metrics",
"field_candidates": [],
"operator": "contains",
"value": "cost savings, cost-benefit analysis, return on investment, employment effects, municipal finances, avoided disposal costs",
"source_confidence": 0.88
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"waste reduction",
"solid waste management",
"municipal waste collection",
"waste diversion",
"landfill diversion",
"recycling",
"operational efficiency",
"cost-benefit",
"economic assessment",
"municipal budget impact",
"sanitation services"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
199
|
"What datasets are available on the health consequences of the implantation of silicone gel breast devices?"
|
{
"query_id": "199",
"original_text": "What datasets are available on the health consequences of the implantation of silicone gel breast devices?",
"constraints": [
{
"concept": "resource type",
"field_candidates": [],
"operator": "equals",
"value": "dataset",
"source_confidence": 0.96
},
{
"concept": "implant type",
"field_candidates": [],
"operator": "contains",
"value": "silicone gel breast implant",
"source_confidence": 0.98
},
{
"concept": "procedure",
"field_candidates": [],
"operator": "contains",
"value": "implantation",
"source_confidence": 0.90
},
{
"concept": "health consequences",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "health consequences / adverse health outcomes",
"source_confidence": 0.94
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"breast implants",
"silicone implants",
"breast implant illness",
"BII",
"capsular contracture",
"implant rupture",
"systemic symptoms",
"autoimmune disease",
"explantation",
"adverse events",
"cohort study",
"registry",
"epidemiology",
"postoperative complications",
"breast augmentation",
"reconstructive surgery"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
200
|
Is there a dataset available that details the complications and side effects of silicone gel breast implants?
|
{
"query_id": "200",
"original_text": "Is there a dataset available that details the complications and side effects of silicone gel breast implants?",
"constraints": [
{
"concept": "medical device / implant type",
"field_candidates": [],
"operator": "contains",
"value": "silicone gel breast implant",
"source_confidence": 0.96
},
{
"concept": "adverse events / complications",
"field_candidates": [],
"operator": "contains",
"value": "complications and side effects",
"source_confidence": 0.95
},
{
"concept": "dataset availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.90
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"breast implant complications",
"capsular contracture",
"implant rupture",
"implant leakage",
"infection",
"seroma",
"hematoma",
"BIA-ALCL",
"systemic symptoms",
"ASIA",
"adverse events",
"post-market surveillance",
"MAUDE",
"implant registry",
"clinical follow-up"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
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