Dataset Viewer
id
int64 1
1.34k
| query
stringlengths 30
232
| output
stringlengths 613
2.53k
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|---|---|---|
1 |
"What datasets are available on current pending antitrust cases?"
|
{
"query_id": "1",
"original_text": "What datasets are available on current pending antitrust cases?",
"constraints": [
{
"concept": "resource type",
"field_candidates": [],
"operator": "equals",
"value": "dataset",
"source_confidence": 0.98
},
{
"concept": "legal topic",
"field_candidates": [],
"operator": "contains",
"value": "antitrust",
"source_confidence": 0.95
},
{
"concept": "case status",
"field_candidates": [],
"operator": "equals",
"value": "pending",
"source_confidence": 0.94
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"competition law",
"merger investigations",
"monopolization",
"litigation",
"enforcement actions",
"court docket",
"case filings",
"regulatory investigations",
"FTC",
"DOJ",
"EU Commission",
"ongoing cases",
"current investigations"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
2 |
"What datasets are available on companies or industries involved in pending antitrust cases?"
|
{
"query_id": "2",
"original_text": "What datasets are available on companies or industries involved in pending antitrust cases?",
"constraints": [
{
"concept": "entity type",
"field_candidates": [],
"operator": "contains",
"value": "companies or industries",
"source_confidence": 0.9
},
{
"concept": "legal case type",
"field_candidates": [],
"operator": "contains",
"value": "antitrust",
"source_confidence": 0.97
},
{
"concept": "legal case status",
"field_candidates": [],
"operator": "equals",
"value": "pending",
"source_confidence": 0.95
},
{
"concept": "dataset availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.88
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"competition law",
"antitrust litigation",
"merger review",
"cartel",
"monopolization",
"lawsuit",
"enforcement action",
"company participants",
"industry participants",
"regulatory filings"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
3 |
What datasets are available on recent corporate acquisitions?
|
{
"query_id": "3",
"original_text": "What datasets are available on recent corporate acquisitions?",
"constraints": [
{
"concept": "resource type",
"field_candidates": [],
"operator": "contains",
"value": "dataset",
"source_confidence": 0.95
},
{
"concept": "topic",
"field_candidates": [],
"operator": "contains",
"value": "corporate acquisitions",
"source_confidence": 0.96
},
{
"concept": "temporal recency",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "recent",
"source_confidence": 0.85
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": ["mergers and acquisitions", "M&A", "takeovers", "buyouts", "deal data", "transaction announcements", "acquisition deals", "corporate purchases", "deal value", "acquirer"],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
4 |
Where can I find data on mergers and acquisitions within a specific industry or region?
|
{
"query_id": "4",
"original_text": "Where can I find data on mergers and acquisitions within a specific industry or region?",
"constraints": [
{
"concept": "topic",
"field_candidates": [],
"operator": "contains",
"value": "mergers and acquisitions",
"source_confidence": 0.96
},
{
"concept": "filter scope",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
},
{
"concept": "data type",
"field_candidates": [],
"operator": "contains",
"value": "datasets or databases",
"source_confidence": 0.85
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"M&A",
"mergers",
"acquisitions",
"takeovers",
"deal data",
"transaction value",
"deal database",
"industry sector",
"geographic region",
"country",
"sector-specific reports",
"S&P Global",
"Bloomberg",
"Refinitiv",
"PitchBook",
"Capital IQ",
"SEC filings",
"company press releases",
"industry reports"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
5 |
What datasets are available on global debt rescheduling agreements?
|
{
"query_id": "5",
"original_text": "What datasets are available on global debt rescheduling agreements?",
"constraints": [
{
"concept": "resource type",
"field_candidates": [],
"operator": "equals",
"value": "dataset",
"source_confidence": 0.98
},
{
"concept": "subject / topic",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "debt rescheduling agreements",
"source_confidence": 0.95
},
{
"concept": "geographic scope",
"field_candidates": [],
"operator": "contains",
"value": "global",
"source_confidence": 0.90
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": ["debt restructuring", "debt relief", "sovereign debt restructuring", "loan rescheduling", "Paris Club", "IMF agreements", "bilateral restructuring", "multilateral debt", "restructuring agreements", "debt workouts"],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
6 |
"What datasets are available on countries or organizations that have recently gone through debt rescheduling?"
|
{
"query_id": "6",
"original_text": "What datasets are available on countries or organizations that have recently gone through debt rescheduling?",
"constraints": [
{
"concept": "data availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.96
},
{
"concept": "entity type",
"field_candidates": [],
"operator": "contains",
"value": "country",
"source_confidence": 0.94
},
{
"concept": "entity type",
"field_candidates": [],
"operator": "contains",
"value": "organization",
"source_confidence": 0.94
},
{
"concept": "financial event",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "debt rescheduling",
"source_confidence": 0.96
},
{
"concept": "timeframe",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "recent",
"source_confidence": 0.75
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"debt restructuring",
"debt reprofiling",
"loan rescheduling",
"debt relief",
"restructured debt",
"sovereign debt",
"corporate debt",
"creditor negotiations",
"Paris Club",
"IMF programs",
"recently restructured",
"repayment terms changed",
"debt workout"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
7 |
What datasets are available on the effectiveness of third world debt relief programs?
|
{
"query_id": "7",
"original_text": "What datasets are available on the effectiveness of third world debt relief programs?",
"constraints": [
{
"concept": "policy intervention",
"field_candidates": [],
"operator": "contains",
"value": "debt relief programs",
"source_confidence": 0.95
},
{
"concept": "program evaluation / effectiveness",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.92
},
{
"concept": "geographic region",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "developing countries (Third World)",
"source_confidence": 0.9
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"debt forgiveness",
"debt cancellation",
"debt restructuring",
"HIPC",
"MDRI",
"IMF",
"World Bank",
"poverty reduction",
"economic growth",
"impact evaluation",
"program outcomes",
"impact assessment",
"cross-country analysis",
"case studies",
"randomized evaluation",
"difference-in-differences",
"ODA"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
8 |
"What datasets are available on the benefits of debt relief for countries?"
|
{
"query_id": "8",
"original_text": "What datasets are available on the benefits of debt relief for countries?",
"constraints": [
{
"concept": "policy topic",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "benefits of debt relief",
"source_confidence": 0.95
},
{
"concept": "resource type",
"field_candidates": [],
"operator": "equals",
"value": "dataset",
"source_confidence": 0.94
},
{
"concept": "geographic scope",
"field_candidates": [],
"operator": "contains",
"value": "country",
"source_confidence": 0.91
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"debt cancellation",
"debt forgiveness",
"sovereign debt relief",
"debt restructuring",
"HIPC",
"MDRI",
"debt sustainability",
"GDP growth",
"poverty reduction",
"fiscal space",
"social spending",
"economic outcomes",
"development finance",
"external debt"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
9 |
What datasets are available on the U.S. federal budget deficit?
|
{
"query_id": "9",
"original_text": "What datasets are available on the U.S. federal budget deficit?",
"constraints": [
{
"concept": "topic",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "U.S. federal budget deficit",
"source_confidence": 0.98
},
{
"concept": "resource type",
"field_candidates": [],
"operator": "equals",
"value": "dataset",
"source_confidence": 0.95
},
{
"concept": "geographic scope",
"field_candidates": [],
"operator": "equals",
"value": "United States",
"source_confidence": 0.97
},
{
"concept": "government level",
"field_candidates": [],
"operator": "equals",
"value": "federal",
"source_confidence": 0.96
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"federal deficit",
"budget shortfall",
"U.S. budget",
"Treasury",
"Congressional Budget Office",
"CBO",
"deficit-to-GDP",
"monthly treasury statement",
"annual budget deficit",
"federal government finances"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
10 |
"What datasets are available on the current level of the U.S. budget deficit?"
|
{
"query_id": "10",
"original_text": "What datasets are available on the current level of the U.S. budget deficit?",
"constraints": [
{
"concept": "resource type",
"field_candidates": [],
"operator": "equals",
"value": "dataset",
"source_confidence": 0.95
},
{
"concept": "economic indicator",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "U.S. budget deficit",
"source_confidence": 0.97
},
{
"concept": "geographic scope",
"field_candidates": [],
"operator": "equals",
"value": "United States",
"source_confidence": 0.98
},
{
"concept": "temporal scope",
"field_candidates": [],
"operator": "contains",
"value": "current (most recent)",
"source_confidence": 0.88
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"federal deficit",
"budget shortfall",
"fiscal deficit",
"deficit-to-GDP",
"U.S. federal budget",
"Treasury data",
"CBO",
"OMB",
"net borrowing",
"annual deficit",
"monthly deficit"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
11 |
What datasets are available on economic projections for a specific country or region?
|
{
"query_id": "11",
"original_text": "What datasets are available on economic projections for a specific country or region?",
"constraints": [
{
"concept": "topic",
"field_candidates": [],
"operator": "contains",
"value": "economic projections",
"source_confidence": 0.96
},
{
"concept": "geographic scope",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "country or region",
"source_confidence": 0.90
},
{
"concept": "dataset availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.92
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": ["economic outlook", "GDP projections", "macroeconomic forecasts", "fiscal projections", "regional forecasts", "country-level forecasts", "scenario analysis"],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
12 |
"What datasets are available on projected trends for key economic indicators such as GDP, inflation, and unemployment?"
|
{
"query_id": "12",
"original_text": "What datasets are available on projected trends for key economic indicators such as GDP, inflation, and unemployment?",
"constraints": [
{
"concept": "resource type",
"field_candidates": [],
"operator": "equals",
"value": "dataset",
"source_confidence": 0.98
},
{
"concept": "analysis type",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "projected trends; projections; forecasts",
"source_confidence": 0.92
},
{
"concept": "economic indicators",
"field_candidates": [],
"operator": "contains",
"value": "GDP, inflation, unemployment",
"source_confidence": 0.95
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": ["economic forecast", "macroeconomic projections", "GDP growth forecast", "CPI forecast", "unemployment rate projections", "inflation expectations", "labor market outlook", "macroeconomic indicators", "IMF WEO", "OECD projections", "World Bank forecasts"],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
13 |
What datasets are available on the efficacy of various AIDS treatments?
|
{
"query_id": "13",
"original_text": "What datasets are available on the efficacy of various AIDS treatments?",
"constraints": [
{
"concept": "disease",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "HIV/AIDS",
"source_confidence": 0.98
},
{
"concept": "treatment type",
"field_candidates": [],
"operator": "contains",
"value": "antiretroviral therapy (ART) and other AIDS treatments",
"source_confidence": 0.90
},
{
"concept": "treatment efficacy",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.95
},
{
"concept": "study type",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "clinical trials, randomized controlled trials, observational studies",
"source_confidence": 0.85
},
{
"concept": "dataset availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.88
}
],
"required_modalities": [
"JSON",
"XML",
"RDF",
"Text"
],
"soft_terms": [
"HIV",
"antiretroviral therapy",
"ART",
"treatment outcomes",
"viral suppression",
"viral load",
"CD4 count",
"mortality",
"treatment effectiveness",
"clinical trial data",
"randomized controlled trial",
"observational cohort"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
14 |
"What datasets are available on treatments that reduce viral load and improve quality of life for HIV-positive individuals?"
|
{
"query_id": "14",
"original_text": "What datasets are available on treatments that reduce viral load and improve quality of life for HIV-positive individuals?",
"constraints": [
{
"concept": "disease/condition",
"field_candidates": [],
"operator": "contains",
"value": "HIV-positive",
"source_confidence": 0.99
},
{
"concept": "intervention/treatment",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.95
},
{
"concept": "viral load reduction",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "reduced viral load / viral suppression",
"source_confidence": 0.94
},
{
"concept": "quality of life outcome",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "improved quality of life / patient-reported outcomes",
"source_confidence": 0.93
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"antiretroviral therapy",
"ART",
"HAART",
"viral suppression",
"plasma HIV RNA",
"CD4 count",
"patient-reported outcomes",
"QoL",
"quality-adjusted life years",
"treatment adherence",
"treatment efficacy",
"randomized controlled trial",
"cohort study"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
15 |
What datasets are available on water pollution levels in a specific region or country?
|
{
"query_id": "15",
"original_text": "What datasets are available on water pollution levels in a specific region or country?",
"constraints": [
{
"concept": "resource type",
"field_candidates": [],
"operator": "equals",
"value": "dataset",
"source_confidence": 0.97
},
{
"concept": "environmental parameter",
"field_candidates": [],
"operator": "contains",
"value": "water pollution levels",
"source_confidence": 0.96
},
{
"concept": "geographic scope",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"water quality",
"contamination",
"pollutant concentrations",
"heavy metals",
"nitrates",
"phosphates",
"BOD",
"COD",
"turbidity",
"pH",
"fecal coliform",
"monitoring data",
"regional data",
"country-level data",
"river pollution",
"coastal pollution"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
16 |
"What datasets are available on significant sources of water pollution and their contributions to contamination?"
|
{
"query_id": "16",
"original_text": "What datasets are available on significant sources of water pollution and their contributions to contamination?",
"constraints": [
{
"concept": "data type",
"field_candidates": [],
"operator": "contains",
"value": "dataset",
"source_confidence": 0.95
},
{
"concept": "pollution topic",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "water pollution",
"source_confidence": 0.98
},
{
"concept": "source attribution",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.92
},
{
"concept": "contribution measurement",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.90
},
{
"concept": "significance filter",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "significant sources",
"source_confidence": 0.72
}
],
"required_modalities": [
"JSON",
"XML",
"RDF",
"Text"
],
"soft_terms": [
"source apportionment",
"pollutant load",
"contaminant load",
"point sources",
"non-point sources",
"industrial discharge",
"agricultural runoff",
"sewage",
"percentage contribution",
"mass flux",
"attribution"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
17 |
What datasets are available on U.S. savings bonds, their issuance, and redemption?
|
{
"query_id": "17",
"original_text": "What datasets are available on U.S. savings bonds, their issuance, and redemption?",
"constraints": [
{
"concept": "financial instrument",
"field_candidates": [],
"operator": "contains",
"value": "U.S. savings bonds",
"source_confidence": 0.95
},
{
"concept": "issuance data",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.92
},
{
"concept": "redemption data",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.92
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"Series EE",
"Series I",
"TreasuryDirect",
"Bureau of the Fiscal Service",
"U.S. Treasury",
"purchase records",
"issue date",
"maturity",
"cashing",
"redemption records",
"administrative data",
"government datasets",
"savings bond holdings"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
18 |
"What datasets are available on the historical trend of savings bond interest rates?"
|
{
"query_id": "18",
"original_text": "What datasets are available on the historical trend of savings bond interest rates?",
"constraints": [
{
"concept": "financial instrument",
"field_candidates": [],
"operator": "contains",
"value": "savings bond",
"source_confidence": 0.96
},
{
"concept": "measurement type",
"field_candidates": [],
"operator": "contains",
"value": "interest rate",
"source_confidence": 0.95
},
{
"concept": "data type",
"field_candidates": [],
"operator": "contains",
"value": "historical time series",
"source_confidence": 0.94
},
{
"concept": "dataset existence",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"savings-bond rates",
"bond yields",
"historical rates",
"time series interest rates",
"Treasury savings bonds",
"Series EE",
"Series I",
"TreasuryDirect",
"coupon rate",
"yield history",
"historical yield curve",
"macroeconomic datasets"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
19 |
What datasets are available on the FDA drug approval process and timelines?
|
{
"query_id": "19",
"original_text": "What datasets are available on the FDA drug approval process and timelines?",
"constraints": [
{
"concept": "regulatory agency",
"field_candidates": [],
"operator": "equals",
"value": "FDA",
"source_confidence": 0.98
},
{
"concept": "regulatory process",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "drug approval process",
"source_confidence": 0.95
},
{
"concept": "temporal information",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
},
{
"concept": "data type",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.97
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"approval timeline",
"time-to-approval",
"review timelines",
"NDA",
"BLA",
"PDUFA dates",
"approval dates",
"regulatory milestones",
"FDA CDER",
"FDA approvals dataset",
"drug review duration",
"regulatory submission"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
20 |
"What datasets are available on drugs approved by the FDA in the last year?"
|
{
"query_id": "20",
"original_text": "What datasets are available on drugs approved by the FDA in the last year?",
"constraints": [
{
"concept": "regulatory agency",
"field_candidates": [],
"operator": "equals",
"value": "FDA",
"source_confidence": 0.98
},
{
"concept": "approval status",
"field_candidates": [],
"operator": "equals",
"value": "approved",
"source_confidence": 0.96
},
{
"concept": "time since approval",
"field_candidates": [],
"operator": "<",
"value": 1,
"unit": "years",
"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": [
"recent FDA approvals",
"new drug approvals",
"NDA",
"BLA",
"Drugs@FDA",
"Orange Book",
"approval date",
"pharmaceutical datasets",
"regulatory datasets",
"drug labeling",
"CDER"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
21 |
What datasets are available on the progress and outcomes of international trade liberalization talks?
|
{
"query_id": "21",
"original_text": "What datasets are available on the progress and outcomes of international trade liberalization talks?",
"constraints": [
{
"concept": "subject",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "international trade liberalization talks",
"source_confidence": 0.95
},
{
"concept": "negotiation progress",
"field_candidates": [],
"operator": "contains",
"value": "progress",
"source_confidence": 0.9
},
{
"concept": "negotiation outcomes",
"field_candidates": [],
"operator": "contains",
"value": "outcomes",
"source_confidence": 0.9
},
{
"concept": "dataset availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
},
{
"concept": "geographic scope",
"field_candidates": [],
"operator": "equals",
"value": "international",
"source_confidence": 0.93
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"trade negotiations",
"tariff liberalization",
"trade agreements",
"WTO negotiations",
"negotiation rounds",
"trade policy commitments",
"negotiation status",
"agreement texts",
"trade facilitation",
"dispute settlements"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
22 |
"What datasets are available on the major stakeholders in international talks by country and industry?"
|
{
"query_id": "22",
"original_text": "What datasets are available on the major stakeholders in international talks by country and industry?",
"constraints": [
{
"concept": "data resource type",
"field_candidates": [],
"operator": "equals",
"value": "dataset",
"source_confidence": 0.95
},
{
"concept": "topic",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "international talks / negotiations / diplomatic negotiations",
"source_confidence": 0.93
},
{
"concept": "stakeholder focus",
"field_candidates": [],
"operator": "contains",
"value": "major stakeholders",
"source_confidence": 0.9
},
{
"concept": "geographic granularity",
"field_candidates": [],
"operator": "contains",
"value": "by country",
"source_confidence": 0.9
},
{
"concept": "sectoral granularity",
"field_candidates": [],
"operator": "contains",
"value": "by industry",
"source_confidence": 0.9
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"negotiations",
"diplomacy",
"participants",
"delegations",
"stakeholder mapping",
"industry sectors",
"country-level",
"interest groups",
"trade associations",
"multilateral talks"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
23 |
What datasets are available on patent infringement lawsuits filed in a specific industry or region?
|
{
"query_id": "23",
"original_text": "What datasets are available on patent infringement lawsuits filed in a specific industry or region?",
"constraints": [
{
"concept": "legal case type",
"field_candidates": [],
"operator": "contains",
"value": "patent infringement lawsuits",
"source_confidence": 0.98
},
{
"concept": "dataset availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
},
{
"concept": "scope filter",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "specific industry or region",
"source_confidence": 0.85
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"intellectual property litigation",
"IP lawsuits",
"patent disputes",
"infringement claims",
"industry sector",
"geographic region",
"court filings",
"legal datasets",
"lawsuit databases",
"case dockets"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
24 |
"What datasets are available on companies involved in patent infringement lawsuits?"
|
{
"query_id": "24",
"original_text": "What datasets are available on companies involved in patent infringement lawsuits?",
"constraints": [
{
"concept": "entity type",
"field_candidates": [],
"operator": "contains",
"value": "company",
"source_confidence": 0.95
},
{
"concept": "legal case type",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "patent infringement lawsuit",
"source_confidence": 0.94
},
{
"concept": "dataset availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.92
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"patent litigation",
"intellectual property lawsuits",
"IP litigation",
"infringement claims",
"litigation datasets",
"lawsuit records",
"court dockets",
"plaintiff",
"defendant",
"legal case data",
"company litigation history"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
25 |
What datasets are available on new medical technologies and innovations?
|
{
"query_id": "25",
"original_text": "What datasets are available on new medical technologies and innovations?",
"constraints": [
{
"concept": "research topic",
"field_candidates": [],
"operator": "contains",
"value": "medical technologies and innovations",
"source_confidence": 0.95
},
{
"concept": "novelty/recency",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "new, emerging, recent innovations",
"source_confidence": 0.78
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": ["health technology", "medical devices", "digital health", "telemedicine", "biomedical innovation", "healthcare innovation", "emerging medical tech", "medical AI", "diagnostic tools", "wearables", "clinical innovation", "medical R&D"],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
26 |
"What datasets are available on recently developed medical technologies?"
|
{
"query_id": "26",
"original_text": "What datasets are available on recently developed medical technologies?",
"constraints": [
{
"concept": "resource type",
"field_candidates": [],
"operator": "equals",
"value": "dataset",
"source_confidence": 0.98
},
{
"concept": "subject area",
"field_candidates": [],
"operator": "contains",
"value": "medical technology",
"source_confidence": 0.95
},
{
"concept": "recency",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "recently developed",
"source_confidence": 0.78
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"new medical devices",
"emerging health technologies",
"biomedical devices",
"digital health",
"healthcare technology",
"recent innovations",
"cutting-edge medical tech",
"recently introduced"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
27 |
What datasets are available on companies capable of producing document management systems?
|
{
"query_id": "27",
"original_text": "What datasets are available on companies capable of producing document management systems?",
"constraints": [
{
"concept": "resource type",
"field_candidates": [],
"operator": "equals",
"value": "dataset",
"source_confidence": 0.98
},
{
"concept": "entity type",
"field_candidates": [],
"operator": "equals",
"value": "company",
"source_confidence": 0.95
},
{
"concept": "company capability / product type",
"field_candidates": [],
"operator": "contains",
"value": "document management system",
"source_confidence": 0.92
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": ["DMS", "document management software", "enterprise content management", "ECM", "content management", "document workflow", "records management", "software vendor", "ISV", "document control"],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
28 |
"What datasets are available on the largest providers of document management systems?"
|
{
"query_id": "28",
"original_text": "What datasets are available on the largest providers of document management systems?",
"constraints": [
{
"concept": "software category",
"field_candidates": [],
"operator": "contains",
"value": "document management systems",
"source_confidence": 0.96
},
{
"concept": "provider market position",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "largest providers / top vendors by market share",
"source_confidence": 0.88
},
{
"concept": "resource type",
"field_candidates": [],
"operator": "equals",
"value": "datasets",
"source_confidence": 0.95
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"DMS",
"document management software",
"enterprise content management",
"ECM",
"top vendors",
"market leaders",
"market share",
"vendor ranking",
"Microsoft SharePoint",
"OpenText",
"Box",
"Alfresco",
"M-Files",
"DocuWare"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
29 |
What datasets are available on analyses of savings and loan failures in a specific time period or region?
|
{
"query_id": "29",
"original_text": "What datasets are available on analyses of savings and loan failures in a specific time period or region?",
"constraints": [
{
"concept": "financial failure analysis",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "savings and loan failures",
"source_confidence": 0.95
},
{
"concept": "time period coverage",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
},
{
"concept": "geographic coverage",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"S&L crisis",
"thrift failures",
"banking crisis",
"regional analysis",
"temporal scope",
"time series",
"1980s savings and loan",
"FDIC",
"regulatory response",
"financial datasets"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
30 |
"What datasets are available on the causes of savings and loan failures?"
|
{
"query_id": "30",
"original_text": "What datasets are available on the causes of savings and loan failures?",
"constraints": [
{
"concept": "institution type",
"field_candidates": [],
"operator": "contains",
"value": "savings and loan",
"source_confidence": 0.96
},
{
"concept": "cause analysis",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "causes of failures (financial, regulatory, fraud, interest-rate risk, asset-liability mismatch)",
"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": [
"S&L crisis",
"savings and loan crisis",
"thrift failures",
"bank failures",
"financial institution insolvency",
"regulatory failure",
"fraud",
"interest rate risk",
"asset-liability mismatch",
"FDIC",
"resolution",
"mortgage defaults"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
31 |
What datasets are available on computer or communications systems upgrades in a specific industry or organization?
|
{
"query_id": "31",
"original_text": "What datasets are available on computer or communications systems upgrades in a specific industry or organization?",
"constraints": [
{
"concept": "resource type",
"field_candidates": [],
"operator": "equals",
"value": "dataset",
"source_confidence": 0.96
},
{
"concept": "system upgrade topic",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "computer or communications systems upgrades",
"source_confidence": 0.93
},
{
"concept": "scope (industry or organization)",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"IT upgrades",
"network upgrades",
"system modernization",
"infrastructure replacement",
"platform migration",
"telecom upgrade",
"enterprise IT",
"sector-specific deployment",
"organizational rollout",
"hardware refresh"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
32 |
"What datasets are available on upgrades made to computer or communications systems?"
|
{
"query_id": "32",
"original_text": "What datasets are available on upgrades made to computer or communications systems?",
"constraints": [
{
"concept": "resource type",
"field_candidates": [],
"operator": "equals",
"value": "dataset",
"source_confidence": 0.98
},
{
"concept": "topic",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "system upgrade",
"source_confidence": 0.94
},
{
"concept": "system domain",
"field_candidates": [],
"operator": "contains",
"value": "computer systems",
"source_confidence": 0.95
},
{
"concept": "system domain",
"field_candidates": [],
"operator": "contains",
"value": "communications systems",
"source_confidence": 0.95
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"system modernization",
"hardware upgrade",
"software update",
"network upgrade",
"telecommunications upgrade",
"infrastructure upgrade",
"migration",
"retrofit",
"patching",
"system replacement"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
33 |
What datasets are available on U.S. technology policy and its impact on innovation and economic growth?
|
{
"query_id": "33",
"original_text": "What datasets are available on U.S. technology policy and its impact on innovation and economic growth?",
"constraints": [
{
"concept": "policy topic",
"field_candidates": [],
"operator": "contains",
"value": "technology policy",
"source_confidence": 0.95
},
{
"concept": "geographic scope",
"field_candidates": [],
"operator": "equals",
"value": "United States",
"source_confidence": 0.98
},
{
"concept": "resource type",
"field_candidates": [],
"operator": "contains",
"value": "dataset",
"source_confidence": 0.90
},
{
"concept": "impact on innovation",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "innovation",
"source_confidence": 0.92
},
{
"concept": "impact on economic growth",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "economic growth",
"source_confidence": 0.92
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"tech policy",
"science and technology policy",
"R&D policy",
"industrial policy",
"innovation metrics",
"patents",
"R&D expenditure",
"GDP growth",
"productivity",
"startup activity",
"technology adoption",
"firm performance"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
34 |
"What datasets are available on technology policies implemented in the U.S.?"
|
{
"query_id": "34",
"original_text": "What datasets are available on technology policies implemented in the U.S.?",
"constraints": [
{
"concept": "policy topic",
"field_candidates": [],
"operator": "contains",
"value": "technology policy",
"source_confidence": 0.96
},
{
"concept": "jurisdiction",
"field_candidates": [],
"operator": "equals",
"value": "United States",
"source_confidence": 0.98
},
{
"concept": "resource type",
"field_candidates": [],
"operator": "equals",
"value": "dataset",
"source_confidence": 0.95
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": ["technology policy", "tech policy", "digital policy", "ICT policy", "innovation policy", "technology regulation", "technology governance", "federal policy", "state policy", "US policy", "United States"],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
35 |
What datasets are available on purchasers of modern communications equipment in a specific industry or region?
|
{
"query_id": "35",
"original_text": "What datasets are available on purchasers of modern communications equipment in a specific industry or region?",
"constraints": [
{
"concept": "target population",
"field_candidates": [],
"operator": "contains",
"value": "purchasers",
"source_confidence": 0.95
},
{
"concept": "product category",
"field_candidates": [],
"operator": "contains",
"value": "modern communications equipment",
"source_confidence": 0.95
},
{
"concept": "industry specificity",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.86
},
{
"concept": "geographic specificity",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.86
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"buyers",
"customers",
"purchasing",
"procurement",
"telecom equipment",
"communications devices",
"mobile devices",
"routers",
"infrastructure",
"enterprise buyers",
"consumer buyers",
"market research",
"market segmentation",
"industry sector",
"regional analysis",
"geographic coverage",
"market share",
"buyer demographics"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
36 |
"What datasets are available on major purchasers of modern communications equipment?"
|
{
"query_id": "36",
"original_text": "What datasets are available on major purchasers of modern communications equipment?",
"constraints": [
{
"concept": "resource type",
"field_candidates": [],
"operator": "equals",
"value": "dataset",
"source_confidence": 0.98
},
{
"concept": "purchaser type",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "major purchasers (large buyers, bulk purchasers, government procurement agencies, telecom operators, enterprises)",
"source_confidence": 0.88
},
{
"concept": "product category",
"field_candidates": [],
"operator": "contains",
"value": "modern communications equipment",
"source_confidence": 0.9
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"large buyers",
"bulk procurement",
"procurement contracts",
"public procurement",
"telecom carriers",
"mobile network operators",
"enterprise IT purchases",
"vendor sales data",
"import/export of communications gear",
"capital expenditure on communications equipment"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
37 |
What datasets are available on leveraged buyouts in a specific industry or region?
|
{
"query_id": "37",
"original_text": "What datasets are available on leveraged buyouts in a specific industry or region?",
"constraints": [
{
"concept": "transaction type",
"field_candidates": [],
"operator": "contains",
"value": "leveraged buyout",
"source_confidence": 0.95
},
{
"concept": "industry / sector",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
},
{
"concept": "geographic coverage",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
}
],
"required_modalities": [
"JSON",
"XML",
"RDF",
"Text"
],
"soft_terms": [
"LBO",
"leveraged buyout",
"buyouts",
"private equity",
"M&A",
"debt-financed acquisition",
"deal dataset",
"transaction dataset",
"industry sector",
"sector-specific",
"region",
"country",
"market",
"deal value",
"enterprise value"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
38 |
"What datasets are available on companies involved in leveraged buyouts?"
|
{
"query_id": "38",
"original_text": "What datasets are available on companies involved in leveraged buyouts?",
"constraints": [
{
"concept": "entity type",
"field_candidates": [],
"operator": "contains",
"value": "company",
"source_confidence": 0.94
},
{
"concept": "transaction type",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "leveraged buyout",
"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": ["LBO", "buyout", "private equity acquisition", "management buyout", "MBO", "debt-financed acquisition", "deal data", "transaction dataset", "portfolio companies", "acquisition data"],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
39 |
What datasets are available on satellite launch contracts and their value in a specific time period or region?
|
{
"query_id": "39",
"original_text": "What datasets are available on satellite launch contracts and their value in a specific time period or region?",
"constraints": [
{
"concept": "topic",
"field_candidates": [],
"operator": "contains",
"value": "satellite launch contracts",
"source_confidence": 0.95
},
{
"concept": "contract value (monetary)",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.93
},
{
"concept": "temporal coverage",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "specific time period",
"source_confidence": 0.88
},
{
"concept": "geographic coverage",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "region",
"source_confidence": 0.88
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"launch service agreements",
"procurement",
"contract price",
"contract value",
"launch providers",
"spacecraft launch deals",
"time range",
"geographic region",
"country",
"continent",
"commercial contracts",
"government contracts"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
40 |
"What datasets are available on major providers of satellite launch services?"
|
{
"query_id": "40",
"original_text": "What datasets are available on major providers of satellite launch services?",
"constraints": [
{
"concept": "service domain",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "satellite launch services",
"source_confidence": 0.95
},
{
"concept": "provider type",
"field_candidates": [],
"operator": "contains",
"value": "major providers",
"source_confidence": 0.86
},
{
"concept": "resource type",
"field_candidates": [],
"operator": "equals",
"value": "dataset",
"source_confidence": 0.94
},
{
"concept": "data availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"launch providers",
"launch service providers",
"LSP",
"rocket providers",
"commercial launch companies",
"SpaceX",
"Arianespace",
"United Launch Alliance",
"Roscosmos",
"ISRO",
"launch manifests",
"launch history",
"provider datasets",
"orbital launches",
"market share"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
41 |
"What datasets are available on the historical financial performance of MCI?"
|
{
"query_id": "41",
"original_text": "What datasets are available on the historical financial performance of MCI?",
"constraints": [
{
"concept": "organization/company",
"field_candidates": [],
"operator": "contains",
"value": "MCI",
"source_confidence": 0.70
},
{
"concept": "financial performance",
"field_candidates": [],
"operator": "contains",
"value": "historical financial performance",
"source_confidence": 0.95
},
{
"concept": "data availability/dataset",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.90
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"historical financials",
"financial statements",
"income statement",
"balance sheet",
"cash flow",
"revenue",
"net income",
"profit",
"historical performance",
"time series financial data",
"stock price history",
"MCI Communications",
"MCI Inc"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
42 |
"What datasets are available on current revenue and profit figures?"
|
{
"query_id": "42",
"original_text": "What datasets are available on current revenue and profit figures?",
"constraints": [
{
"concept": "resource type",
"field_candidates": [],
"operator": "equals",
"value": "datasets",
"source_confidence": 0.98
},
{
"concept": "financial metric",
"field_candidates": [],
"operator": "contains",
"value": "revenue",
"source_confidence": 0.95
},
{
"concept": "financial metric",
"field_candidates": [],
"operator": "contains",
"value": "profit",
"source_confidence": 0.95
},
{
"concept": "timeframe",
"field_candidates": [],
"operator": "contains",
"value": "current (most recent)",
"source_confidence": 0.85
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": ["sales", "turnover", "revenue figures", "net income", "gross profit", "operating profit", "income statement", "P&L", "latest quarter", "most recent period", "fiscal year-to-date"],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
43 |
What datasets are available on the efficacy of merit-pay vs. seniority pay systems in the workplace?
|
{
"query_id": "43",
"original_text": "What datasets are available on the efficacy of merit-pay vs. seniority pay systems in the workplace?",
"constraints": [
{
"concept": "compensation system (merit-based)",
"field_candidates": [],
"operator": "contains",
"value": "merit pay",
"source_confidence": 0.95
},
{
"concept": "compensation system (seniority-based)",
"field_candidates": [],
"operator": "contains",
"value": "seniority pay",
"source_confidence": 0.95
},
{
"concept": "outcome / efficacy",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "efficacy, effectiveness, impact on performance, productivity, retention, job satisfaction",
"source_confidence": 0.9
},
{
"concept": "context",
"field_candidates": [],
"operator": "contains",
"value": "workplace",
"source_confidence": 0.94
},
{
"concept": "data availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.85
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"performance-based pay",
"pay-for-performance",
"meritocracy pay",
"tenure-based pay",
"seniority-based compensation",
"wage structure",
"bonus systems",
"employee productivity",
"turnover",
"organizational performance",
"job satisfaction",
"compensation policy"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
44 |
"What datasets are available on the differences in performance, job satisfaction, and retention rates between employees compensated through merit-pay vs. seniority pay systems?"
|
{
"query_id": "44",
"original_text": "What datasets are available on the differences in performance, job satisfaction, and retention rates between employees compensated through merit-pay vs. seniority pay systems?",
"constraints": [
{
"concept": "compensation system",
"field_candidates": [],
"operator": "contains",
"value": "merit-pay",
"source_confidence": 0.95
},
{
"concept": "compensation system",
"field_candidates": [],
"operator": "contains",
"value": "seniority pay",
"source_confidence": 0.95
},
{
"concept": "outcome - job performance",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.92
},
{
"concept": "outcome - job satisfaction",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.95
},
{
"concept": "outcome - retention/turnover",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.95
},
{
"concept": "study design",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "comparison between merit-pay and seniority pay",
"source_confidence": 0.90
},
{
"concept": "population",
"field_candidates": [],
"operator": "contains",
"value": "employees",
"source_confidence": 0.90
}
],
"required_modalities": [
"JSON",
"XML",
"RDF",
"Text"
],
"soft_terms": [
"merit-based pay",
"performance-based pay",
"pay-for-performance",
"seniority-based pay",
"tenure-based pay",
"turnover",
"employee retention",
"job satisfaction survey",
"employee performance metrics",
"compensation policy",
"pay structure",
"salary progression",
"organizational outcomes"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
45 |
What datasets are available on machine translation performance for specific languages or language pairs?
|
{
"query_id": "45",
"original_text": "What datasets are available on machine translation performance for specific languages or language pairs?",
"constraints": [
{
"concept": "task type",
"field_candidates": [],
"operator": "contains",
"value": "machine translation performance",
"source_confidence": 0.98
},
{
"concept": "language or language pair",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.95
},
{
"concept": "evaluation metrics present",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.92
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"translation quality",
"BLEU",
"chrF",
"METEOR",
"TER",
"benchmark",
"WMT",
"IWSLT",
"parallel corpus",
"test set",
"dev set",
"low-resource languages",
"language pairs",
"en-de",
"en-fr"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
46 |
"What datasets are available on the comparison of different machine translation systems in terms of accuracy, fluency, and processing speed?"
|
{
"query_id": "46",
"original_text": "What datasets are available on the comparison of different machine translation systems in terms of accuracy, fluency, and processing speed?",
"constraints": [
{
"concept": "task",
"field_candidates": [],
"operator": "contains",
"value": "machine translation",
"source_confidence": 0.98
},
{
"concept": "study type",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "comparison of machine translation systems",
"source_confidence": 0.92
},
{
"concept": "resource type",
"field_candidates": [],
"operator": "contains",
"value": "dataset",
"source_confidence": 0.95
},
{
"concept": "evaluation metric - accuracy",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.93
},
{
"concept": "evaluation metric - fluency",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
},
{
"concept": "evaluation metric - processing speed",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.88
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"MT evaluation",
"translation quality",
"BLEU",
"METEOR",
"TER",
"human evaluation",
"fluency judgement",
"latency",
"throughput",
"tokens per second",
"WMT shared task",
"IWSLT",
"benchmark",
"system comparison",
"neural machine translation",
"statistical machine translation"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
47 |
What datasets are available on hostage-taking incidents in a specific region or time period?
|
{
"query_id": "47",
"original_text": "What datasets are available on hostage-taking incidents in a specific region or time period?",
"constraints": [
{
"concept": "incident type",
"field_candidates": [],
"operator": "contains",
"value": "hostage-taking",
"source_confidence": 0.95
},
{
"concept": "geographic coverage",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
},
{
"concept": "temporal coverage",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"kidnapping",
"abduction",
"hostage incidents",
"incident reports",
"crime datasets",
"conflict events",
"regional filters",
"time range",
"timeframe",
"spatiotemporal coverage",
"news archives",
"law enforcement records"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
48 |
"What datasets are available on the characteristics of hostage-taking incidents?"
|
{
"query_id": "48",
"original_text": "What datasets are available on the characteristics of hostage-taking incidents?",
"constraints": [
{
"concept": "dataset availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.95
},
{
"concept": "incident type",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "hostage-taking incidents",
"source_confidence": 0.93
},
{
"concept": "incident characteristics",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": ["kidnapping", "abduction", "hostage crisis", "siege", "negotiation", "ransom", "perpetrator profile", "victim demographics", "incident timeline", "law enforcement response", "casualties"],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
49 |
What are the available datasets for training and evaluating information retrieval systems?
|
{
"query_id": "49",
"original_text": "What are the available datasets for training and evaluating information retrieval systems?",
"constraints": [
{
"concept": "research task",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "information retrieval",
"source_confidence": 0.98
},
{
"concept": "dataset use",
"field_candidates": [],
"operator": "contains",
"value": "training",
"source_confidence": 0.9
},
{
"concept": "dataset use",
"field_candidates": [],
"operator": "contains",
"value": "evaluation",
"source_confidence": 0.9
},
{
"concept": "availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.8
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"IR datasets",
"retrieval corpora",
"test collections",
"TREC",
"MS MARCO",
"Cranfield",
"LETOR",
"Robust04",
"ClueWeb",
"GOV2",
"query logs",
"qrels",
"relevance judgments",
"benchmark datasets",
"evaluation collections"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
50 |
What datasets are commonly used for benchmarking the effectiveness of various information retrieval techniques?
|
{
"query_id": "50",
"original_text": "What datasets are commonly used for benchmarking the effectiveness of various information retrieval techniques?",
"constraints": [
{
"concept": "dataset purpose",
"field_candidates": [],
"operator": "contains",
"value": "benchmark",
"source_confidence": 0.95
},
{
"concept": "research domain",
"field_candidates": [],
"operator": "contains",
"value": "information retrieval",
"source_confidence": 0.98
},
{
"concept": "evaluation target",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "effectiveness",
"source_confidence": 0.90
},
{
"concept": "usage frequency",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "commonly used",
"source_confidence": 0.85
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"benchmark datasets",
"test collections",
"TREC",
"Cranfield",
"Reuters-21578",
"20 Newsgroups",
"MS MARCO",
"Robust04",
"CLEF",
"evaluation metrics",
"precision",
"recall",
"MAP",
"nDCG",
"ranking evaluation",
"query logs"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
51 |
What datasets are available on the performance of natural language processing models for specific tasks or domains?
|
{
"query_id": "51",
"original_text": "What datasets are available on the performance of natural language processing models for specific tasks or domains?",
"constraints": [
{
"concept": "research area",
"field_candidates": [],
"operator": "contains",
"value": "natural language processing",
"source_confidence": 0.98
},
{
"concept": "data content",
"field_candidates": [],
"operator": "contains",
"value": "model performance metrics",
"source_confidence": 0.92
},
{
"concept": "task or domain specificity",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.90
},
{
"concept": "dataset purpose",
"field_candidates": [],
"operator": "contains",
"value": "benchmark or evaluation",
"source_confidence": 0.88
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"benchmarks",
"leaderboards",
"evaluation metrics",
"accuracy",
"F1 score",
"BLEU",
"ROUGE",
"exact match",
"EM",
"GLUE",
"SuperGLUE",
"SQuAD",
"CoNLL",
"MNLI",
"QA datasets",
"machine translation",
"summarization",
"named entity recognition",
"sentiment analysis",
"domain adaptation",
"medical NLP",
"legal NLP",
"finance NLP",
"task-specific datasets"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
52 |
"What datasets are available on the comparison of different natural language processing models in terms of accuracy, efficiency, and generalization ability?"
|
{
"query_id": "52",
"original_text": "What datasets are available on the comparison of different natural language processing models in terms of accuracy, efficiency, and generalization ability?",
"constraints": [
{
"concept": "subject area",
"field_candidates": [],
"operator": "contains",
"value": "natural language processing",
"source_confidence": 0.98
},
{
"concept": "study type",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "comparison or benchmark of models",
"source_confidence": 0.92
},
{
"concept": "evaluation metric - accuracy",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.95
},
{
"concept": "evaluation metric - efficiency",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.92
},
{
"concept": "evaluation metric - generalization ability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"NLP models",
"language models",
"model benchmarking",
"model comparison",
"accuracy",
"precision",
"recall",
"inference time",
"latency",
"throughput",
"compute efficiency",
"model size",
"generalization",
"out-of-distribution performance",
"robustness",
"GLUE",
"SuperGLUE",
"benchmark datasets"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
53 |
What datasets are available on the practice and outcomes of surrogate motherhood in a specific region or time period?
|
{
"query_id": "53",
"original_text": "What datasets are available on the practice and outcomes of surrogate motherhood in a specific region or time period?",
"constraints": [
{
"concept": "data type",
"field_candidates": [],
"operator": "equals",
"value": "datasets",
"source_confidence": 0.9
},
{
"concept": "subject",
"field_candidates": [],
"operator": "contains",
"value": "surrogate motherhood",
"source_confidence": 0.96
},
{
"concept": "data content",
"field_candidates": [],
"operator": "contains",
"value": "practice and outcomes",
"source_confidence": 0.92
},
{
"concept": "geographic region",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.85
},
{
"concept": "time period",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.85
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"surrogacy",
"gestational surrogacy",
"traditional surrogacy",
"surrogate mother",
"maternal outcomes",
"neonatal outcomes",
"birth outcomes",
"legal framework",
"cross-border surrogacy",
"assisted reproductive technology",
"IVF",
"compensation",
"ethical issues",
"socioeconomic outcomes"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
54 |
"What datasets are available on the motivations and experiences of surrogate mothers and intended parents?"
|
{
"query_id": "54",
"original_text": "What datasets are available on the motivations and experiences of surrogate mothers and intended parents?",
"constraints": [
{
"concept": "resource type",
"field_candidates": [],
"operator": "equals",
"value": "dataset",
"source_confidence": 0.95
},
{
"concept": "topic",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "motivations and experiences",
"source_confidence": 0.94
},
{
"concept": "population",
"field_candidates": [],
"operator": "contains",
"value": "surrogate mothers",
"source_confidence": 0.97
},
{
"concept": "population",
"field_candidates": [],
"operator": "contains",
"value": "intended parents",
"source_confidence": 0.97
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": ["surrogacy", "gestational carrier", "commissioning parents", "motivations", "experiences", "perspectives", "qualitative interviews", "family formation", "parental intentions"],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
55 |
What datasets are available on border incursions in a specific region or time period?
|
{
"query_id": "55",
"original_text": "What datasets are available on border incursions in a specific region or time period?",
"constraints": [
{
"concept": "event type",
"field_candidates": [],
"operator": "contains",
"value": "border incursions",
"source_confidence": 0.95
},
{
"concept": "spatio-temporal coverage",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "specific region or time period",
"source_confidence": 0.9
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"border violations",
"cross-border incidents",
"unauthorized crossings",
"territorial incursions",
"transboundary incidents",
"geographic area",
"region",
"jurisdiction",
"time period",
"date range",
"timeframe",
"temporal coverage"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
56 |
"What datasets are available on the characteristics of border incursions?"
|
{
"query_id": "56",
"original_text": "What datasets are available on the characteristics of border incursions?",
"constraints": [
{
"concept": "event topic",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "border incursions",
"source_confidence": 0.92
},
{
"concept": "dataset availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.95
},
{
"concept": "event characteristics",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"border incidents",
"illegal crossings",
"infiltration",
"trespassing",
"cross-border attacks",
"smuggling",
"border violations",
"breach events",
"incursion frequency",
"incursion location",
"actors involved",
"methods of entry",
"timing of incidents",
"casualties",
"security incidents"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
57 |
What datasets are available on demographic shifts in the U.S. population over time?
|
{
"query_id": "57",
"original_text": "What datasets are available on demographic shifts in the U.S. population over time?",
"constraints": [
{
"concept": "demographic shifts",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "demographic shifts",
"source_confidence": 0.95
},
{
"concept": "geographic scope",
"field_candidates": [],
"operator": "equals",
"value": "United States",
"source_confidence": 0.98
},
{
"concept": "temporal coverage",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.90
},
{
"concept": "resource type",
"field_candidates": [],
"operator": "equals",
"value": "datasets",
"source_confidence": 0.95
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"population change",
"population trends",
"age distribution",
"migration",
"fertility",
"mortality",
"racial composition",
"ethnic composition",
"Census",
"American Community Survey",
"PUMS",
"vital statistics",
"time series",
"longitudinal data"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
58 |
"What datasets are available on the changes in the distribution of age, race, ethnicity, gender, education, and other demographic factors?"
|
{
"query_id": "58",
"original_text": "What datasets are available on the changes in the distribution of age, race, ethnicity, gender, education, and other demographic factors?",
"constraints": [
{
"concept": "topic",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "changes in distribution of demographic factors",
"source_confidence": 0.97
},
{
"concept": "demographic variable",
"field_candidates": [],
"operator": "contains",
"value": "age",
"source_confidence": 0.95
},
{
"concept": "demographic variable",
"field_candidates": [],
"operator": "contains",
"value": "race",
"source_confidence": 0.95
},
{
"concept": "demographic variable",
"field_candidates": [],
"operator": "contains",
"value": "ethnicity",
"source_confidence": 0.95
},
{
"concept": "demographic variable",
"field_candidates": [],
"operator": "contains",
"value": "gender",
"source_confidence": 0.95
},
{
"concept": "demographic variable",
"field_candidates": [],
"operator": "contains",
"value": "education",
"source_confidence": 0.95
},
{
"concept": "temporal dimension",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.93
},
{
"concept": "other demographic factors",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "income, occupation, household composition, migration, disability",
"source_confidence": 0.9
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": ["demographic shifts", "population composition", "population trends", "sociodemographic", "census data", "longitudinal survey", "time series", "cohort study", "prevalence", "distributional change"],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
59 |
What datasets are available on demographic shifts across national boundaries?
|
{
"query_id": "59",
"original_text": "What datasets are available on demographic shifts across national boundaries?",
"constraints": [
{
"concept": "resource type",
"field_candidates": [],
"operator": "contains",
"value": "datasets",
"source_confidence": 0.92
},
{
"concept": "demographic phenomenon",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "demographic shifts",
"source_confidence": 0.95
},
{
"concept": "geographic scope",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "across national boundaries",
"source_confidence": 0.93
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"population change",
"migration",
"international migration",
"cross-border movement",
"transnational migration",
"demographic transition",
"population dynamics",
"refugee flows",
"immigration",
"emigration",
"census",
"longitudinal studies",
"cross-national comparison"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
60 |
"What datasets are available on the patterns and drivers of demographic shifts?"
|
{
"query_id": "60",
"original_text": "What datasets are available on the patterns and drivers of demographic shifts?",
"constraints": [
{
"concept": "resource type",
"field_candidates": [],
"operator": "equals",
"value": "dataset",
"source_confidence": 0.98
},
{
"concept": "research topic",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "patterns of demographic shifts",
"source_confidence": 0.95
},
{
"concept": "drivers / causal factors",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "drivers of demographic change (e.g., migration, fertility, mortality, policy, economic factors)",
"source_confidence": 0.9
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"population dynamics",
"population change",
"demographic transition",
"age structure",
"fertility rates",
"mortality rates",
"migration flows",
"urbanization",
"population trends",
"drivers of population change",
"socioeconomic determinants",
"policy impact on demographics"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
61 |
What datasets are available on the impact of automation on the workforce and the economy?
|
{
"query_id": "61",
"original_text": "What datasets are available on the impact of automation on the workforce and the economy?",
"constraints": [
{
"concept": "technology/topic",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "automation (including robotics, AI, machine learning, process automation)",
"source_confidence": 0.95
},
{
"concept": "socioeconomic target",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "workforce (employment, occupations, labor market, labor force participation)",
"source_confidence": 0.93
},
{
"concept": "economic outcome",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "economy (GDP, productivity, wages, unemployment, income inequality, economic growth)",
"source_confidence": 0.92
},
{
"concept": "resource type",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.98
}
],
"required_modalities": [
"JSON",
"XML",
"RDF",
"Text"
],
"soft_terms": [
"robotics",
"artificial intelligence",
"machine learning",
"job automation",
"technological unemployment",
"occupational displacement",
"reskilling",
"labor economics",
"employment statistics",
"wages and earnings",
"productivity metrics",
"GDP impact",
"income distribution",
"unemployment rate",
"labor force participation rate"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
62 |
"What datasets are available on industries and occupations most affected by automation?"
|
{
"query_id": "62",
"original_text": "What datasets are available on industries and occupations most affected by automation?",
"constraints": [
{
"concept": "research topic",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "automation impact on employment / job automation",
"source_confidence": 0.95
},
{
"concept": "impact severity",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "most affected / highest automation risk / greatest exposure",
"source_confidence": 0.88
},
{
"concept": "scope - industries",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
},
{
"concept": "scope - occupations",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
},
{
"concept": "data type",
"field_candidates": [],
"operator": "contains",
"value": "dataset",
"source_confidence": 0.9
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"job displacement",
"automation risk",
"robotization",
"AI impact on jobs",
"occupational susceptibility",
"sector vulnerability",
"labor market effects",
"routine-task automation",
"occupational exposure",
"industry-level employment data"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
63 |
What datasets are available on the activities and campaigns of Greenpeace?
|
{
"query_id": "63",
"original_text": "What datasets are available on the activities and campaigns of Greenpeace?",
"constraints": [
{
"concept": "organization",
"field_candidates": [],
"operator": "equals",
"value": "Greenpeace",
"source_confidence": 0.98
},
{
"concept": "data type",
"field_candidates": [],
"operator": "equals",
"value": "datasets",
"source_confidence": 0.95
},
{
"concept": "campaigns and activities",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "activities and campaigns",
"source_confidence": 0.90
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"Greenpeace campaigns",
"environmental activism",
"direct action",
"advocacy campaigns",
"campaign reports",
"protest events",
"campaign outcomes",
"NGO activities",
"campaign datasets",
"organizational reports"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
64 |
"What datasets are available on the issues and causes that Greenpeace focuses on?"
|
{
"query_id": "64",
"original_text": "What datasets are available on the issues and causes that Greenpeace focuses on?",
"constraints": [
{
"concept": "organization",
"field_candidates": [],
"operator": "equals",
"value": "Greenpeace",
"source_confidence": 0.98
},
{
"concept": "issue/cause",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "environmental issues and causes (e.g., climate change, deforestation, oceans, pollution, biodiversity, renewable energy, anti-nuclear)",
"source_confidence": 0.90
},
{
"concept": "dataset availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.85
}
],
"required_modalities": [
"JSON",
"XML",
"RDF",
"Text"
],
"soft_terms": [
"environmental campaigns",
"conservation",
"climate action",
"ocean protection",
"forest protection",
"pollution monitoring",
"biodiversity",
"renewable energy advocacy",
"Greenpeace campaigns",
"activism datasets",
"NGO focus areas"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
65 |
What datasets are available on the political positions and ideologies of political parties in the Federal Republic of Germany?
|
{
"query_id": "65",
"original_text": "What datasets are available on the political positions and ideologies of political parties in the Federal Republic of Germany?",
"constraints": [
{
"concept": "data type",
"field_candidates": [],
"operator": "contains",
"value": "dataset",
"source_confidence": 0.95
},
{
"concept": "topic",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "political positions and ideologies",
"source_confidence": 0.94
},
{
"concept": "entity",
"field_candidates": [],
"operator": "contains",
"value": "political parties",
"source_confidence": 0.93
},
{
"concept": "country",
"field_candidates": [],
"operator": "equals",
"value": "Federal Republic of Germany",
"source_confidence": 0.98
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"party platforms",
"party manifestos",
"party ideology",
"political orientation",
"left-right",
"policy positions",
"party system",
"Manifesto Project",
"Comparative Manifesto Project (CMP)",
"Chapel Hill Expert Survey (CHES)",
"ParlGov",
"party position dataset",
"Bundestag parties",
"CDU",
"SPD",
"AfD",
"FDP",
"Die Linke",
"Bündnis 90/Die Grünen"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
66 |
"What datasets are available on the policy stances of different political parties on key issues?"
|
{
"query_id": "66",
"original_text": "What datasets are available on the policy stances of different political parties on key issues?",
"constraints": [
{
"concept": "resource type",
"field_candidates": [],
"operator": "contains",
"value": "dataset",
"source_confidence": 0.95
},
{
"concept": "content topic",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "policy stances",
"source_confidence": 0.96
},
{
"concept": "political actor",
"field_candidates": [],
"operator": "contains",
"value": "political parties",
"source_confidence": 0.97
},
{
"concept": "issue scope",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "key issues",
"source_confidence": 0.9
},
{
"concept": "availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": ["party platforms", "manifestos", "policy positions", "position papers", "issue positions", "voting records", "policy agendas", "platform statements", "comparative policy datasets", "public policy"],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
67 |
What datasets are available on the platforms and policy positions of the presidential candidates in the 1988 U.S. presidential election?
|
{
"query_id": "67",
"original_text": "What datasets are available on the platforms and policy positions of the presidential candidates in the 1988 U.S. presidential election?",
"constraints": [
{
"concept": "data type",
"field_candidates": [],
"operator": "contains",
"value": "dataset",
"source_confidence": 0.96
},
{
"concept": "political content",
"field_candidates": [],
"operator": "contains",
"value": "platforms and policy positions",
"source_confidence": 0.95
},
{
"concept": "election",
"field_candidates": [],
"operator": "equals",
"value": "1988 U.S. presidential election",
"source_confidence": 0.98
},
{
"concept": "subject entity",
"field_candidates": [],
"operator": "contains",
"value": "presidential candidates",
"source_confidence": 0.94
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"campaign platforms",
"policy platforms",
"candidate positions",
"planks",
"party platform",
"manifestos",
"policy statements",
"campaign policy",
"debate positions",
"George H. W. Bush",
"Michael Dukakis",
"Ron Paul",
"third-party candidates",
"1988 campaign"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
68 |
"What datasets are available on the main issues and themes of the election?"
|
{
"query_id": "68",
"original_text": "What datasets are available on the main issues and themes of the election?",
"constraints": [
{
"concept": "data type",
"field_candidates": [],
"operator": "equals",
"value": "dataset",
"source_confidence": 0.98
},
{
"concept": "topic / subject",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "main issues and themes of the election",
"source_confidence": 0.92
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"campaign issues",
"policy priorities",
"electoral platforms",
"voter concerns",
"campaign themes",
"policy debates",
"issue salience",
"public opinion",
"election topics"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
69 |
What datasets are available on the ethical, social, and environmental implications of genetic engineering?
|
{
"query_id": "69",
"original_text": "What datasets are available on the ethical, social, and environmental implications of genetic engineering?",
"constraints": [
{
"concept": "biotechnological process",
"field_candidates": [],
"operator": "contains",
"value": "genetic engineering",
"source_confidence": 0.96
},
{
"concept": "ethical implications",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "ethical implications of genetic engineering",
"source_confidence": 0.91
},
{
"concept": "social implications",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "social implications of genetic engineering",
"source_confidence": 0.9
},
{
"concept": "environmental implications",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "environmental implications of genetic engineering",
"source_confidence": 0. nine
},
{
"concept": "resource type",
"field_candidates": [],
"operator": "contains",
"value": "dataset",
"source_confidence": 0.95
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"bioethics",
"ethics of gene editing",
"CRISPR impacts",
"GMO regulation",
"biosafety",
"environmental risk assessment",
"ecological impact",
"public perception",
"socioeconomic effects",
"policy analysis",
"risk governance",
"sustainability",
"equity",
"community consent",
"stakeholder attitudes"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
70 |
"What datasets are available on the scientific advances and technological applications of genetic engineering?"
|
{
"query_id": "70",
"original_text": "What datasets are available on the scientific advances and technological applications of genetic engineering?",
"constraints": [
{
"concept": "resource type",
"field_candidates": [],
"operator": "equals",
"value": "datasets",
"source_confidence": 0.93
},
{
"concept": "research field",
"field_candidates": [],
"operator": "contains",
"value": "genetic engineering",
"source_confidence": 0.97
},
{
"concept": "research emphasis",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "scientific advances",
"source_confidence": 0.88
},
{
"concept": "research emphasis",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "technological applications",
"source_confidence": 0.89
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"genetic modification",
"gene editing",
"CRISPR",
"GMOs",
"transgenic",
"biotechnology",
"gene therapy",
"synthetic biology",
"applied genomics",
"biotech commercialization"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
71 |
What datasets are available on the installation and deployment of alternative and renewable energy plant and equipment?
|
{
"query_id": "71",
"original_text": "What datasets are available on the installation and deployment of alternative and renewable energy plant and equipment?",
"constraints": [
{
"concept": "energy domain",
"field_candidates": [],
"operator": "contains",
"value": "alternative and renewable energy",
"source_confidence": 0.95
},
{
"concept": "activity",
"field_candidates": [],
"operator": "contains",
"value": "installation and deployment",
"source_confidence": 0.9
},
{
"concept": "asset type",
"field_candidates": [],
"operator": "contains",
"value": "plant and equipment",
"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": [
"renewables",
"alternative energy",
"solar PV",
"wind turbines",
"hydropower",
"geothermal",
"biomass",
"installation guidelines",
"deployment case studies",
"commissioning",
"site preparation",
"equipment commissioning",
"balance of system",
"inverters",
"plant commissioning",
"project deployment",
"installation manuals"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
72 |
"What datasets are available on the trends and patterns in the installation of solar, wind, hydro, geothermal, and other types of renewable energy systems?"
|
{
"query_id": "72",
"original_text": "What datasets are available on the trends and patterns in the installation of solar, wind, hydro, geothermal, and other types of renewable energy systems?",
"constraints": [
{
"concept": "energy source/type",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "solar, wind, hydro, geothermal, other renewable energy systems",
"source_confidence": 0.95
},
{
"concept": "dataset topic",
"field_candidates": [],
"operator": "contains",
"value": "installation trends and patterns",
"source_confidence": 0.93
},
{
"concept": "temporal data (time series)",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
},
{
"concept": "installation metrics",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "installed capacity, number of installations, commissioning dates, capacity growth rates",
"source_confidence": 0.9
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"deployment trends",
"uptake",
"installed capacity",
"commissioning",
"capacity growth",
"spatial distribution",
"time series",
"renewable deployment",
"renewable adoption rates"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
73 |
What datasets are available on the prevalence and impact of official corruption in different countries and regions?
|
{
"query_id": "73",
"original_text": "What datasets are available on the prevalence and impact of official corruption in different countries and regions?",
"constraints": [
{
"concept": "resource type",
"field_candidates": [],
"operator": "equals",
"value": "datasets",
"source_confidence": 0.96
},
{
"concept": "corruption prevalence",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "prevalence of official corruption",
"source_confidence": 0.95
},
{
"concept": "corruption impact",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "impact of official corruption (economic, social, governance effects)",
"source_confidence": 0.92
},
{
"concept": "geographic scope",
"field_candidates": [],
"operator": "contains",
"value": "countries and regions",
"source_confidence": 0.94
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"bribery",
"graft",
"corruption perception index",
"control of corruption",
"World Bank WGI",
"Transparency International",
"public sector corruption",
"embezzlement",
"state capture",
"government integrity",
"economic impact",
"social impact",
"regional comparisons",
"cross-country datasets",
"survey data"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
74 |
"What datasets are available on the types and forms of corruption?"
|
{
"query_id": "74",
"original_text": "What datasets are available on the types and forms of corruption?",
"constraints": [
{
"concept": "resource type",
"field_candidates": [],
"operator": "equals",
"value": "dataset",
"source_confidence": 0.96
},
{
"concept": "topic",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "corruption (types and forms)",
"source_confidence": 0.9
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"bribery",
"embezzlement",
"fraud",
"nepotism",
"graft",
"kickbacks",
"state capture",
"petty corruption",
"grand corruption",
"corporate corruption",
"public sector corruption",
"illicit payments",
"malfeasance",
"anti-corruption indices",
"Corruption Perceptions Index",
"Transparency International",
"types",
"forms",
"manifestations"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
75 |
What are some datasets available on bank failures in the United States?
|
{
"query_id": "75",
"original_text": "What are some datasets available on bank failures in the United States?",
"constraints": [
{
"concept": "data availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
},
{
"concept": "financial event",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "bank failures",
"source_confidence": 0.95
},
{
"concept": "geographic location",
"field_candidates": [],
"operator": "equals",
"value": "United States",
"source_confidence": 0.98
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"bank closures",
"failed banks",
"bank insolvency",
"FDIC failed bank list",
"bankruptcy",
"bank receivership",
"bank resolution",
"bank runs",
"financial crisis",
"bank failure dataset"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
76 |
Where can I find datasets on the number and causes of bank failures in different countries?
|
{
"query_id": "76",
"original_text": "Where can I find datasets on the number and causes of bank failures in different countries?",
"constraints": [
{
"concept": "resource type",
"field_candidates": [],
"operator": "equals",
"value": "dataset",
"source_confidence": 0.95
},
{
"concept": "measurement",
"field_candidates": [],
"operator": "contains",
"value": "number of bank failures",
"source_confidence": 0.92
},
{
"concept": "causal factors",
"field_candidates": [],
"operator": "contains",
"value": "causes of bank failures",
"source_confidence": 0.9
},
{
"concept": "geographic granularity",
"field_candidates": [],
"operator": "contains",
"value": "country-level",
"source_confidence": 0.88
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"bank closures",
"bank insolvency",
"bankruptcy of banks",
"bank runs",
"financial crises",
"systemic risk",
"regulatory failure",
"liquidity shock",
"nonperforming loans",
"bank resolution"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
77 |
What datasets are available on criminal actions taken against officers of failed financial institutions?
|
{
"query_id": "77",
"original_text": "What datasets are available on criminal actions taken against officers of failed financial institutions?",
"constraints": [
{
"concept": "data resource type",
"field_candidates": [],
"operator": "equals",
"value": "datasets",
"source_confidence": 0.96
},
{
"concept": "legal action type",
"field_candidates": [],
"operator": "contains",
"value": "criminal actions",
"source_confidence": 0.95
},
{
"concept": "subject role",
"field_candidates": [],
"operator": "contains",
"value": "officers",
"source_confidence": 0.9
},
{
"concept": "institution status",
"field_candidates": [],
"operator": "contains",
"value": "failed financial institutions",
"source_confidence": 0.93
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"bank failure",
"failed banks",
"financial institution failure",
"executives",
"directors",
"indictments",
"prosecutions",
"convictions",
"FDIC",
"receivership",
"enforcement actions",
"white-collar crime",
"criminal charges",
"regulatory investigations"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
78 |
Can you provide a dataset containing information on criminal charges against individuals associated with failed financial institutions?
|
{
"query_id": "78",
"original_text": "Can you provide a dataset containing information on criminal charges against individuals associated with failed financial institutions?",
"constraints": [
{
"concept": "criminal charges",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.96
},
{
"concept": "subject affiliation",
"field_candidates": [],
"operator": "contains",
"value": "individuals associated with failed financial institutions",
"source_confidence": 0.92
},
{
"concept": "data type",
"field_candidates": [],
"operator": "contains",
"value": "dataset",
"source_confidence": 0.9
},
{
"concept": "institution status",
"field_candidates": [],
"operator": "contains",
"value": "failed financial institution",
"source_confidence": 0.9
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"failed bank",
"bank failure",
"FDIC receivership",
"bank collapse",
"insolvency",
"indictment",
"prosecution",
"fraud",
"embezzlement",
"money laundering",
"regulatory enforcement",
"criminal indictment",
"charged individuals",
"former executives"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
79 |
"What datasets are available on the historical trend of crude oil prices over the past decade?"
|
{
"query_id": "79",
"original_text": "What datasets are available on the historical trend of crude oil prices over the past decade?",
"constraints": [
{
"concept": "dataset availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
},
{
"concept": "economic variable",
"field_candidates": [],
"operator": "contains",
"value": "crude oil prices",
"source_confidence": 0.98
},
{
"concept": "temporal coverage",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "past decade (last 10 years)",
"source_confidence": 0.92
},
{
"concept": "analysis type",
"field_candidates": [],
"operator": "contains",
"value": "historical trend / time series",
"source_confidence": 0.9
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"oil prices",
"Brent crude",
"WTI",
"spot price",
"time series",
"historical series",
"nominal price",
"real price (inflation-adjusted)",
"energy markets",
"10-year trend",
"market data",
"price index"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
80 |
Is there a dataset available that shows the relationship between crude oil prices and global events or economic indicators?
|
{
"query_id": "80",
"original_text": "Is there a dataset available that shows the relationship between crude oil prices and global events or economic indicators?",
"constraints": [
{
"concept": "commodity price time series",
"field_candidates": [],
"operator": "contains",
"value": "crude oil prices",
"source_confidence": 0.97
},
{
"concept": "global events",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "global events (geopolitical events, supply disruptions, major news)",
"source_confidence": 0.90
},
{
"concept": "economic indicators",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "economic indicators (GDP, inflation, unemployment, interest rates, trade data)",
"source_confidence": 0.92
},
{
"concept": "dataset availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.88
},
{
"concept": "relationship evidence",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.86
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"oil price time series",
"Brent",
"WTI",
"macroeconomic indicators",
"GDP",
"inflation",
"unemployment",
"interest rates",
"geopolitical events",
"OPEC announcements",
"supply shocks",
"event study",
"correlation analysis",
"causality",
"market shocks"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
81 |
What is the dataset that contains information about the downstream investments made by member states of OPEC?
|
{
"query_id": "81",
"original_text": "What is the dataset that contains information about the downstream investments made by member states of OPEC?",
"constraints": [
{
"concept": "organization",
"field_candidates": [],
"operator": "equals",
"value": "OPEC",
"source_confidence": 0.96
},
{
"concept": "geographic coverage / political entity",
"field_candidates": [],
"operator": "contains",
"value": "OPEC member states",
"source_confidence": 0.9
},
{
"concept": "investment type / economic activity",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "downstream investments",
"source_confidence": 0.92
},
{
"concept": "dataset existence",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.95
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"refining capacity",
"petrochemical investment",
"fuel distribution",
"downstream sector",
"capital expenditure",
"capex",
"refineries",
"storage terminals",
"marketing and retail",
"oil downstream projects"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
82 |
How can I access a dataset related to the investments made by OPEC member states in downstream projects?
|
{
"query_id": "82",
"original_text": "How can I access a dataset related to the investments made by OPEC member states in downstream projects?",
"constraints": [
{
"concept": "topic",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "investments in downstream projects",
"source_confidence": 0.93
},
{
"concept": "country group",
"field_candidates": [],
"operator": "contains",
"value": "OPEC member states",
"source_confidence": 0.95
},
{
"concept": "data type",
"field_candidates": [],
"operator": "equals",
"value": "dataset",
"source_confidence": 0.9
},
{
"concept": "access information",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"downstream sector",
"refining",
"petrochemicals",
"investment flows",
"capital expenditure",
"OPEC countries",
"member states",
"project finance",
"financial datasets",
"data access",
"open data"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
83 |
What dataset contains information on the proven reserves of oil and natural gas producers?
|
{
"query_id": "83",
"original_text": "What dataset contains information on the proven reserves of oil and natural gas producers?",
"constraints": [
{
"concept": "resource type",
"field_candidates": [],
"operator": "contains",
"value": "oil",
"source_confidence": 0.96
},
{
"concept": "resource type",
"field_candidates": [],
"operator": "contains",
"value": "natural gas",
"source_confidence": 0.96
},
{
"concept": "reserves classification",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.95
},
{
"concept": "entity type",
"field_candidates": [],
"operator": "contains",
"value": "producers (oil and gas companies)",
"source_confidence": 0.9
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"proved reserves",
"proved developed reserves",
"proved undeveloped reserves",
"1P reserves",
"reserves reporting",
"E&P companies",
"upstream producers",
"SEC filings",
"10-K",
"annual report",
"proved oil reserves",
"proved gas reserves"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
84 |
Is there a dataset that lists the proven reserves of oil and natural gas for different producers?
|
{
"query_id": "84",
"original_text": "Is there a dataset that lists the proven reserves of oil and natural gas for different producers?",
"constraints": [
{
"concept": "data product type",
"field_candidates": [],
"operator": "contains",
"value": "dataset",
"source_confidence": 0.95
},
{
"concept": "resource type",
"field_candidates": [],
"operator": "contains",
"value": "proven reserves",
"source_confidence": 0.97
},
{
"concept": "commodity",
"field_candidates": [],
"operator": "contains",
"value": "oil",
"source_confidence": 0.96
},
{
"concept": "commodity",
"field_candidates": [],
"operator": "contains",
"value": "natural gas",
"source_confidence": 0.96
},
{
"concept": "producer listing",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.92
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"proved reserves",
"proved oil reserves",
"proved gas reserves",
"proved and probable",
"reserves by company",
"reserves by country",
"barrels",
"standard cubic feet",
"boe",
"operator-level reserves",
"company disclosures",
"EIA",
"IEA",
"BP Statistical Review"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
85 |
Where can I find a dataset with information on the proven reserves of oil and natural gas companies?
|
{
"query_id": "85",
"original_text": "Where can I find a dataset with information on the proven reserves of oil and natural gas companies?",
"constraints": [
{
"concept": "data topic",
"field_candidates": [],
"operator": "contains",
"value": "proven reserves",
"source_confidence": 0.97
},
{
"concept": "company sector",
"field_candidates": [],
"operator": "contains",
"value": "oil and natural gas companies",
"source_confidence": 0.95
},
{
"concept": "data granularity",
"field_candidates": [],
"operator": "contains",
"value": "company-level",
"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": [
"proved reserves",
"proved developed reserves",
"proved undeveloped reserves",
"proved oil reserves",
"proved gas reserves",
"reserves volume",
"boe",
"barrels of oil equivalent",
"EIA",
"SEC filings",
"company annual reports",
"BP Statistical Review",
"OGJ",
"IHS Markit",
"Rystad Energy",
"reserve reports"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
86 |
What is the name of the dataset that contains information on the proven reserves of oil and natural gas producers?
|
{
"query_id": "86",
"original_text": "What is the name of the dataset that contains information on the proven reserves of oil and natural gas producers?",
"constraints": [
{
"concept": "dataset title",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
},
{
"concept": "proven reserves",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "proven reserves",
"source_confidence": 0.95
},
{
"concept": "resource type",
"field_candidates": [],
"operator": "contains",
"value": "oil and natural gas",
"source_confidence": 0.93
},
{
"concept": "entity type",
"field_candidates": [],
"operator": "contains",
"value": "producers",
"source_confidence": 0.9
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"proved reserves",
"proved oil and gas reserves",
"proved reserves (SEC)",
"reserve estimates",
"oil companies",
"gas companies",
"operators",
"reserve ownership",
"proved developed reserves",
"2P reserves"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
87 |
"What datasets are available on global trends in military equipment sales in the last decade?"
|
{
"query_id": "87",
"original_text": "What datasets are available on global trends in military equipment sales in the last decade?",
"constraints": [
{
"concept": "topic",
"field_candidates": [],
"operator": "contains",
"value": "military equipment sales",
"source_confidence": 0.98
},
{
"concept": "geographic scope",
"field_candidates": [],
"operator": "equals",
"value": "global",
"source_confidence": 0.95
},
{
"concept": "time range",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "last decade (approx. 2015-2024)",
"source_confidence": 0.90
},
{
"concept": "dataset availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.85
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"arms sales",
"arms transfers",
"defense exports",
"weapons sales",
"arms trade register",
"SIPRI",
"Stockholm International Peace Research Institute",
"UN conventional arms",
"defense procurement",
"military trade trends",
"defense industry exports"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
88 |
"What datasets are available on the largest importers and exporters of military equipment worldwide?"
|
{
"query_id": "88",
"original_text": "What datasets are available on the largest importers and exporters of military equipment worldwide?",
"constraints": [
{
"concept": "data availability / dataset",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
},
{
"concept": "topic",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "military equipment trade (arms trade, arms transfers, defense equipment)",
"source_confidence": 0.96
},
{
"concept": "trade role",
"field_candidates": [],
"operator": "contains",
"value": "exporter",
"source_confidence": 0.92
},
{
"concept": "trade role",
"field_candidates": [],
"operator": "contains",
"value": "importer",
"source_confidence": 0.92
},
{
"concept": "ranking / magnitude",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "largest / top / ranked by volume or monetary value",
"source_confidence": 0.88
},
{
"concept": "geography",
"field_candidates": [],
"operator": "equals",
"value": "worldwide",
"source_confidence": 0.94
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": ["arms trade", "SIPRI", "arms exports", "arms imports", "defense equipment transfers", "top exporters", "top importers", "trade volume", "monetary value", "international transfers"],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
89 |
"What datasets are available on the sales of military equipment by major arms exporting countries over time?"
|
{
"query_id": "89",
"original_text": "What datasets are available on the sales of military equipment by major arms exporting countries over time?",
"constraints": [
{
"concept": "subject",
"field_candidates": [],
"operator": "contains",
"value": "military equipment sales",
"source_confidence": 0.95
},
{
"concept": "actor",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "major arms exporting countries",
"source_confidence": 0.88
},
{
"concept": "temporal coverage",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
},
{
"concept": "dataset availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.93
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"arms trade",
"arms transfers",
"defense exports",
"weapon exports",
"military sales",
"arms export volumes",
"annual arms exports",
"SIPRI arms transfers",
"UN arms register",
"time series",
"longitudinal data",
"export value",
"export quantities",
"major exporters (USA, Russia, China, France, Germany, UK)"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
90 |
"What datasets are available on the types of military equipment sold by different countries in the international market?"
|
{
"query_id": "90",
"original_text": "What datasets are available on the types of military equipment sold by different countries in the international market?",
"constraints": [
{
"concept": "equipment type",
"field_candidates": [],
"operator": "contains",
"value": "military equipment",
"source_confidence": 0.95
},
{
"concept": "transaction type",
"field_candidates": [],
"operator": "contains",
"value": "sale/export",
"source_confidence": 0.9
},
{
"concept": "actor type",
"field_candidates": [],
"operator": "contains",
"value": "country (seller/exporter)",
"source_confidence": 0.9
},
{
"concept": "market scope",
"field_candidates": [],
"operator": "equals",
"value": "international market",
"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": [
"arms trade",
"arms transfers",
"defense exports",
"arms sales",
"military hardware",
"weapons export",
"SIPRI arms transfers database",
"UN Comtrade",
"export licenses",
"defense industry",
"international arms market",
"arms brokers"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
91 |
Is there a dataset available that contains information on the frequency and types of crimes that involve the use of computer technology?
|
{
"query_id": "91",
"original_text": "Is there a dataset available that contains information on the frequency and types of crimes that involve the use of computer technology?",
"constraints": [
{
"concept": "subject area",
"field_candidates": [],
"operator": "contains",
"value": "crime",
"source_confidence": 0.95
},
{
"concept": "involves computer technology",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "computer technology; cybercrime; computer-enabled crime",
"source_confidence": 0.92
},
{
"concept": "frequency measurement",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
},
{
"concept": "crime types / categories",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": ["cybercrime", "online fraud", "hacking", "phishing", "malware", "digital crime", "computer-facilitated crime", "incident counts", "crime categories", "police reports", "digital forensics"],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
92 |
Can you provide me with a dataset that includes information on the tools and techniques used by law enforcement agencies to investigate and prevent computer-aided crimes?
|
{
"query_id": "92",
"original_text": "Can you provide me with a dataset that includes information on the tools and techniques used by law enforcement agencies to investigate and prevent computer-aided crimes?",
"constraints": [
{
"concept": "dataset",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.98
},
{
"concept": "actor",
"field_candidates": [],
"operator": "contains",
"value": "law enforcement agencies",
"source_confidence": 0.95
},
{
"concept": "crime type",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "computer-aided crimes",
"source_confidence": 0.93
},
{
"concept": "data content",
"field_candidates": [],
"operator": "contains",
"value": "tools and techniques for investigation and prevention",
"source_confidence": 0.9
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": ["cybercrime", "digital forensics", "incident response", "cyber investigations", "malware analysis", "network forensics", "digital evidence", "threat intelligence", "SIEM", "IDS", "crime prevention", "investigative techniques", "police"],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
93 |
What datasets are available for computer-aided crime detection?
|
{
"query_id": "93",
"original_text": "What datasets are available for computer-aided crime detection?",
"constraints": [
{
"concept": "application domain",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "computer-aided crime detection",
"source_confidence": 0.95
},
{
"concept": "resource type",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"automated crime detection",
"crime analytics",
"surveillance datasets",
"CCTV video datasets",
"forensic datasets",
"anomaly detection in public spaces",
"fraud detection datasets",
"weapon detection",
"suspicious activity detection",
"incident detection",
"law enforcement data",
"crime prediction",
"video analytics",
"face recognition datasets",
"public safety data"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
94 |
Where can I find datasets related to computer-aided crime detection and prevention?
|
{
"query_id": "94",
"original_text": "Where can I find datasets related to computer-aided crime detection and prevention?",
"constraints": [
{
"concept": "resource type",
"field_candidates": [],
"operator": "equals",
"value": "dataset",
"source_confidence": 0.98
},
{
"concept": "research area",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "computer-aided crime detection and prevention",
"source_confidence": 0.92
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"crime analytics",
"automated crime detection",
"predictive policing",
"surveillance analytics",
"video analytics for public safety",
"anomaly detection",
"fraud detection",
"forensic analysis",
"social media monitoring for crime",
"law enforcement datasets",
"public safety data"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
95 |
Is there a dataset on crime incidents that have been detected using computer-aided techniques?
|
{
"query_id": "95",
"original_text": "Is there a dataset on crime incidents that have been detected using computer-aided techniques?",
"constraints": [
{
"concept": "data subject",
"field_candidates": [],
"operator": "contains",
"value": "crime incidents",
"source_confidence": 0.95
},
{
"concept": "detection method",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "computer-aided techniques (automated detection, computer vision, algorithmic detection, machine learning)",
"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": [
"crime reports",
"incident reports",
"police data",
"CCTV analytics",
"video analytics",
"automated detection",
"computer vision",
"machine learning",
"anomaly detection",
"algorithmic detection"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
96 |
What kind of data is typically used in computer-aided crime detection?
|
{
"query_id": "96",
"original_text": "What kind of data is typically used in computer-aided crime detection?",
"constraints": [
{
"concept": "application domain",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "computer-aided crime detection",
"source_confidence": 0.96
},
{
"concept": "data types",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.9
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"forensic data",
"surveillance footage",
"CCTV",
"video analytics",
"audio recordings",
"phone records",
"call detail records",
"GPS/location data",
"social media data",
"transaction logs",
"financial records",
"network traffic",
"text messages",
"emails",
"biometrics",
"fingerprints",
"DNA",
"police reports",
"incident reports",
"sensor data"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
97 |
"What datasets are available on the applications of fiber optics technology in the telecommunications industry?"
|
{
"query_id": "97",
"original_text": "What datasets are available on the applications of fiber optics technology in the telecommunications industry?",
"constraints": [
{
"concept": "technology",
"field_candidates": [],
"operator": "contains",
"value": "fiber optics",
"source_confidence": 0.96
},
{
"concept": "industry / application domain",
"field_candidates": [],
"operator": "contains",
"value": "telecommunications",
"source_confidence": 0.95
},
{
"concept": "resource type",
"field_candidates": [],
"operator": "equals",
"value": "dataset",
"source_confidence": 0.98
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": ["optical fiber", "fiber-optic", "photonic communication", "optical communications", "fiber optic networks", "telecom", "telecommunications networks", "FTTH", "DWDM", "submarine cable", "network infrastructure", "backbone"],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
98 |
Can you provide a dataset of the usage of fiber optics technology in different industries and applications?
|
{
"query_id": "98",
"original_text": "Can you provide a dataset of the usage of fiber optics technology in different industries and applications?",
"constraints": [
{
"concept": "technology",
"field_candidates": [],
"operator": "contains",
"value": "fiber optics",
"source_confidence": 0.96
},
{
"concept": "resource type",
"field_candidates": [],
"operator": "equals",
"value": "dataset",
"source_confidence": 0.92
},
{
"concept": "industry coverage",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.88
},
{
"concept": "application domain",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.88
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"optical fiber",
"fiber-optic",
"telecommunications",
"broadband",
"data centers",
"medical imaging",
"sensing",
"industrial sensors",
"defense",
"CATV",
"networking",
"deployment statistics",
"market adoption",
"use cases"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
99 |
"What datasets are available on the top fiber optics equipment manufacturers by revenue?"
|
{
"query_id": "99",
"original_text": "What datasets are available on the top fiber optics equipment manufacturers by revenue?",
"constraints": [
{
"concept": "company sector",
"field_candidates": [],
"operator": "contains",
"value": "fiber optics equipment manufacturers",
"source_confidence": 0.94
},
{
"concept": "ranking metric",
"field_candidates": [],
"operator": "semantic_relatedness",
"value": "top by revenue",
"source_confidence": 0.9
},
{
"concept": "dataset availability",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.88
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"fiber-optic",
"optical fiber",
"optical communications equipment",
"telecom equipment manufacturers",
"market share",
"sales ranking",
"revenue ranking",
"top vendors",
"market leaders"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
100 |
"What datasets are available on fiber optics equipment manufacturers and their product offerings?"
|
{
"query_id": "100",
"original_text": "What datasets are available on fiber optics equipment manufacturers and their product offerings?",
"constraints": [
{
"concept": "technology domain",
"field_candidates": [],
"operator": "contains",
"value": "fiber optics",
"source_confidence": 0.96
},
{
"concept": "organization type",
"field_candidates": [],
"operator": "contains",
"value": "equipment manufacturer",
"source_confidence": 0.92
},
{
"concept": "product offerings / catalogs",
"field_candidates": [],
"operator": "exists",
"value": true,
"source_confidence": 0.90
}
],
"required_modalities": ["JSON", "XML", "RDF", "Text"],
"soft_terms": [
"fiber optic",
"optical fiber",
"telecom equipment vendors",
"OEM",
"product catalog",
"spec sheets",
"transceivers",
"SFP",
"optical cables",
"connectors",
"vendor database",
"product portfolio"
],
"boolean_structure": "AND",
"provenance_policy": "capture_all"
}
|
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