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Merge pull request #245 from mlcommons/add-http-basic-auth
Add support for basic auth
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{ | ||
"@context": { | ||
"@language": "en", | ||
"@vocab": "https://schema.org/", | ||
"column": "ml:column", | ||
"extract": "ml:extract", | ||
"field": "ml:field", | ||
"fileProperty": "ml:fileProperty", | ||
"format": "ml:format", | ||
"includes": "ml:includes", | ||
"isEnumeration": "ml:isEnumeration", | ||
"jsonPath": "ml:jsonPath", | ||
"ml": "http://mlcommons.org/schema/", | ||
"parentField": "ml:parentField", | ||
"path": "ml:path", | ||
"recordSet": "ml:recordSet", | ||
"references": "ml:references", | ||
"regex": "ml:regex", | ||
"repeated": "ml:repeated", | ||
"replace": "ml:replace", | ||
"sc": "https://schema.org/", | ||
"separator": "ml:separator", | ||
"source": "ml:source", | ||
"subField": "ml:subField", | ||
"transform": "ml:transform", | ||
"data": { "@id": "ml:data", "@type": "@json" }, | ||
"dataType": { "@id": "ml:dataType", "@type": "@vocab" } | ||
}, | ||
"citation": "None", | ||
"license": "https://creativecommons.org/publicdomain/zero/1.0/", | ||
"url": "https://www.kaggle.com/datasets/unsdsn/world-happiness", | ||
"distribution": [ | ||
{ | ||
"contentUrl": "https://www.kaggle.com/api/v1/datasets/download/unsdsn/world-happiness", | ||
"contentSize": "36.809 KB", | ||
"md5": "bc1\u002B\u002BXNoIWW685QyDLewsg==", | ||
"encodingFormat": "application/zip", | ||
"@type": "sc:FileObject", | ||
"name": "archive.zip", | ||
"description": "Archive containing all the contents of the World Happiness Report dataset" | ||
}, | ||
{ | ||
"contentUrl": "2015.csv", | ||
"containedIn": "archive.zip", | ||
"encodingFormat": "text/csv", | ||
"@type": "sc:FileObject", | ||
"name": "2015.csv", | ||
"description": "Happiness rank and scores by country, 2015" | ||
}, | ||
{ | ||
"contentUrl": "2016.csv", | ||
"containedIn": "archive.zip", | ||
"encodingFormat": "text/csv", | ||
"@type": "sc:FileObject", | ||
"name": "2016.csv", | ||
"description": "Happiness rank and scores by country, 2016" | ||
}, | ||
{ | ||
"contentUrl": "2017.csv", | ||
"containedIn": "archive.zip", | ||
"encodingFormat": "text/csv", | ||
"@type": "sc:FileObject", | ||
"name": "2017.csv", | ||
"description": "Happiness rank and scores by country, 2017" | ||
}, | ||
{ | ||
"contentUrl": "2018.csv", | ||
"containedIn": "archive.zip", | ||
"encodingFormat": "text/csv", | ||
"@type": "sc:FileObject", | ||
"name": "2018.csv", | ||
"description": "Happiness rank and scores by country, 2018" | ||
}, | ||
{ | ||
"contentUrl": "2019.csv", | ||
"containedIn": "archive.zip", | ||
"encodingFormat": "text/csv", | ||
"@type": "sc:FileObject", | ||
"name": "2019.csv", | ||
"description": "Happiness rank and scores by country, 2019" | ||
} | ||
], | ||
"recordSet": [ | ||
{ | ||
"field": [ | ||
{ | ||
"dataType": "sc:Text", | ||
"source": { | ||
"distribution": "2015.csv", | ||
"extract": { "column": "Country" } | ||
}, | ||
"@type": "ml:Field", | ||
"name": "Country", | ||
"description": "Name of the country." | ||
}, | ||
{ | ||
"dataType": "sc:Text", | ||
"source": { | ||
"distribution": "2015.csv", | ||
"extract": { "column": "Region" } | ||
}, | ||
"@type": "ml:Field", | ||
"name": "Region", | ||
"description": "Region the country belongs to." | ||
}, | ||
{ | ||
"dataType": "sc:Integer", | ||
"source": { | ||
"distribution": "2015.csv", | ||
"extract": { "column": "Happiness Rank" } | ||
}, | ||
"@type": "ml:Field", | ||
"name": "Happiness-Rank", | ||
"description": "Rank of the country based on the Happiness Score." | ||
}, | ||
{ | ||
"dataType": "sc:Float", | ||
"source": { | ||
"distribution": "2015.csv", | ||
"extract": { "column": "Happiness Score" } | ||
}, | ||
"@type": "ml:Field", | ||
"name": "Happiness-Score", | ||
"description": "A metric measured in 2015 by asking the sampled people the question: \u0022How would you rate your happiness on a scale of 0 to 10 where 10 is the happiest.\u0022" | ||
}, | ||
{ | ||
"dataType": "sc:Float", | ||
"source": { | ||
"distribution": "2015.csv", | ||
"extract": { "column": "Standard Error" } | ||
}, | ||
"@type": "ml:Field", | ||
"name": "Standard-Error", | ||
"description": "The standard error of the happiness score." | ||
}, | ||
{ | ||
"dataType": "sc:Float", | ||
"source": { | ||
"distribution": "2015.csv", | ||
"extract": { "column": "Economy (GDP per Capita)" } | ||
}, | ||
"@type": "ml:Field", | ||
"name": "Economy--GDP-per-Capita-", | ||
"description": "The extent to which GDP contributes to the calculation of the Happiness Score." | ||
}, | ||
{ | ||
"dataType": "sc:Float", | ||
"source": { | ||
"distribution": "2015.csv", | ||
"extract": { "column": "Family" } | ||
}, | ||
"@type": "ml:Field", | ||
"name": "Family", | ||
"description": "The extent to which Family contributes to the calculation of the Happiness Score" | ||
}, | ||
{ | ||
"dataType": "sc:Float", | ||
"source": { | ||
"distribution": "2015.csv", | ||
"extract": { "column": "Health (Life Expectancy)" } | ||
}, | ||
"@type": "ml:Field", | ||
"name": "Health--Life-Expectancy-", | ||
"description": "The extent to which Life expectancy contributed to the calculation of the Happiness Score" | ||
}, | ||
{ | ||
"dataType": "sc:Float", | ||
"source": { | ||
"distribution": "2015.csv", | ||
"extract": { "column": "Freedom" } | ||
}, | ||
"@type": "ml:Field", | ||
"name": "Freedom", | ||
"description": "The extent to which Freedom contributed to the calculation of the Happiness Score." | ||
}, | ||
{ | ||
"dataType": "sc:Float", | ||
"source": { | ||
"distribution": "2015.csv", | ||
"extract": { "column": "Trust (Government Corruption)" } | ||
}, | ||
"@type": "ml:Field", | ||
"name": "Trust--Government-Corruption-", | ||
"description": "The extent to which Perception of Corruption contributes to Happiness Score." | ||
}, | ||
{ | ||
"dataType": "sc:Float", | ||
"source": { | ||
"distribution": "2015.csv", | ||
"extract": { "column": "Generosity" } | ||
}, | ||
"@type": "ml:Field", | ||
"name": "Generosity", | ||
"description": "The extent to which Generosity contributed to the calculation of the Happiness Score." | ||
}, | ||
{ | ||
"dataType": "sc:Float", | ||
"source": { | ||
"distribution": "2015.csv", | ||
"extract": { "column": "Dystopia Residual" } | ||
}, | ||
"@type": "ml:Field", | ||
"name": "Dystopia-Residual", | ||
"description": "The extent to which Dystopia Residual contributed to the calculation of the Happiness Score." | ||
} | ||
], | ||
"@type": "ml:RecordSet", | ||
"name": "2015.csv_records", | ||
"description": "Happiness rank and scores by country, 2015" | ||
}, | ||
{ | ||
"field": [ | ||
{ | ||
"dataType": "sc:Text", | ||
"source": { | ||
"distribution": "2016.csv", | ||
"extract": { "column": "Country" } | ||
}, | ||
"@type": "ml:Field", | ||
"name": "Country", | ||
"description": "Name of the country" | ||
}, | ||
{ | ||
"dataType": "sc:Text", | ||
"source": { | ||
"distribution": "2016.csv", | ||
"extract": { "column": "Region" } | ||
}, | ||
"@type": "ml:Field", | ||
"name": "Region", | ||
"description": "Region the country belongs to" | ||
}, | ||
{ | ||
"dataType": "sc:Integer", | ||
"source": { | ||
"distribution": "2016.csv", | ||
"extract": { "column": "Happiness Rank" } | ||
}, | ||
"@type": "ml:Field", | ||
"name": "Happiness-Rank", | ||
"description": "Rank of the country based on the Happiness Score." | ||
}, | ||
{ | ||
"dataType": "sc:Float", | ||
"source": { | ||
"distribution": "2016.csv", | ||
"extract": { "column": "Happiness Score" } | ||
}, | ||
"@type": "ml:Field", | ||
"name": "Happiness-Score", | ||
"description": "A metric measured in 2016 by asking the sampled people the question: \u0022How would you rate your happiness on a scale of 0 to 10 where 10 is the happiest\u0022" | ||
}, | ||
{ | ||
"dataType": "sc:Float", | ||
"source": { | ||
"distribution": "2016.csv", | ||
"extract": { "column": "Lower Confidence Interval" } | ||
}, | ||
"@type": "ml:Field", | ||
"name": "Lower-Confidence-Interval", | ||
"description": "Lower Confidence Interval of the Happiness Score" | ||
}, | ||
{ | ||
"dataType": "sc:Float", | ||
"source": { | ||
"distribution": "2016.csv", | ||
"extract": { "column": "Upper Confidence Interval" } | ||
}, | ||
"@type": "ml:Field", | ||
"name": "Upper-Confidence-Interval", | ||
"description": "Upper Confidence Interval of the Happiness Score" | ||
}, | ||
{ | ||
"dataType": "sc:Float", | ||
"source": { | ||
"distribution": "2016.csv", | ||
"extract": { "column": "Economy (GDP per Capita)" } | ||
}, | ||
"@type": "ml:Field", | ||
"name": "Economy--GDP-per-Capita-", | ||
"description": "The extent to which GDP contributes to the calculation of the Happiness Score." | ||
}, | ||
{ | ||
"dataType": "sc:Float", | ||
"source": { | ||
"distribution": "2016.csv", | ||
"extract": { "column": "Family" } | ||
}, | ||
"@type": "ml:Field", | ||
"name": "Family", | ||
"description": "The extent to which Family contributes to the calculation of the Happiness Score" | ||
}, | ||
{ | ||
"dataType": "sc:Float", | ||
"source": { | ||
"distribution": "2016.csv", | ||
"extract": { "column": "Health (Life Expectancy)" } | ||
}, | ||
"@type": "ml:Field", | ||
"name": "Health--Life-Expectancy-", | ||
"description": "The extent to which Life expectancy contributed to the calculation of the Happiness Score" | ||
}, | ||
{ | ||
"dataType": "sc:Float", | ||
"source": { | ||
"distribution": "2016.csv", | ||
"extract": { "column": "Freedom" } | ||
}, | ||
"@type": "ml:Field", | ||
"name": "Freedom", | ||
"description": "The extent to which Freedom contributed to the calculation of the Happiness Score" | ||
}, | ||
{ | ||
"dataType": "sc:Float", | ||
"source": { | ||
"distribution": "2016.csv", | ||
"extract": { "column": "Trust (Government Corruption)" } | ||
}, | ||
"@type": "ml:Field", | ||
"name": "Trust--Government-Corruption-", | ||
"description": "The extent to which Perception of Corruption contributes to Happiness Score" | ||
}, | ||
{ | ||
"dataType": "sc:Float", | ||
"source": { | ||
"distribution": "2016.csv", | ||
"extract": { "column": "Generosity" } | ||
}, | ||
"@type": "ml:Field", | ||
"name": "Generosity", | ||
"description": "The extent to which Generosity contributed to the calculation of the Happiness Score" | ||
}, | ||
{ | ||
"dataType": "sc:Float", | ||
"source": { | ||
"distribution": "2016.csv", | ||
"extract": { "column": "Dystopia Residual" } | ||
}, | ||
"@type": "ml:Field", | ||
"name": "Dystopia-Residual", | ||
"description": "The extent to which Dystopia Residual contributed to the calculation of the Happiness Score." | ||
} | ||
], | ||
"@type": "ml:RecordSet", | ||
"name": "2016.csv_records", | ||
"description": "Happiness rank and scores by country, 2016" | ||
}, | ||
{ | ||
"field": [ | ||
{ | ||
"dataType": "sc:Text", | ||
"source": { | ||
"distribution": "2017.csv", | ||
"extract": { "column": "Country" } | ||
}, | ||
"@type": "ml:Field", | ||
"name": "Country", | ||
"description": "Country column" | ||
}, | ||
{ | ||
"dataType": "sc:Integer", | ||
"source": { | ||
"distribution": "2017.csv", | ||
"extract": { "column": "Happiness.Rank" } | ||
}, | ||
"@type": "ml:Field", | ||
"name": "Happiness.Rank", | ||
"description": "Happiness.Rank column" | ||
}, | ||
{ | ||
"dataType": "sc:Float", | ||
"source": { | ||
"distribution": "2017.csv", | ||
"extract": { "column": "Happiness.Score" } | ||
}, | ||
"@type": "ml:Field", | ||
"name": "Happiness.Score", | ||
"description": "A metric measured in 2016 by asking the sampled people the question: \u0022How would you rate your happiness on a scale of 0 to 10 where 10 is the happiest\u0022" | ||
}, | ||
{ | ||
"dataType": "sc:Float", | ||
"source": { | ||
"distribution": "2017.csv", | ||
"extract": { "column": "Whisker.high" } | ||
}, | ||
"@type": "ml:Field", | ||
"name": "Whisker.high", | ||
"description": "Whisker.high column" | ||
}, | ||
{ | ||
"dataType": "sc:Float", | ||
"source": { | ||
"distribution": "2017.csv", | ||
"extract": { "column": "Whisker.low" } | ||
}, | ||
"@type": "ml:Field", | ||
"name": "Whisker.low", | ||
"description": "Whisker.low column" | ||
}, | ||
{ | ||
"dataType": "sc:Float", | ||
"source": { | ||
"distribution": "2017.csv", | ||
"extract": { "column": "Economy..GDP.per.Capita." } | ||
}, | ||
"@type": "ml:Field", | ||
"name": "Economy..GDP.per.Capita.", | ||
"description": "Economy..GDP.per.Capita. column" | ||
}, | ||
{ | ||
"dataType": "sc:Float", | ||
"source": { | ||
"distribution": "2017.csv", | ||
"extract": { "column": "Family" } | ||
}, | ||
"@type": "ml:Field", | ||
"name": "Family", | ||
"description": "Family column" | ||
}, | ||
{ | ||
"dataType": "sc:Float", | ||
"source": { | ||
"distribution": "2017.csv", | ||
"extract": { "column": "Health..Life.Expectancy." } | ||
}, | ||
"@type": "ml:Field", | ||
"name": "Health..Life.Expectancy.", | ||
"description": "Health..Life.Expectancy. column" | ||
}, | ||
{ | ||
"dataType": "sc:Float", | ||
"source": { | ||
"distribution": "2017.csv", | ||
"extract": { "column": "Freedom" } | ||
}, | ||
"@type": "ml:Field", | ||
"name": "Freedom", | ||
"description": "Freedom column" | ||
}, | ||
{ | ||
"dataType": "sc:Float", | ||
"source": { | ||
"distribution": "2017.csv", | ||
"extract": { "column": "Generosity" } | ||
}, | ||
"@type": "ml:Field", | ||
"name": "Generosity", | ||
"description": "Generosity column" | ||
}, | ||
{ | ||
"dataType": "sc:Float", | ||
"source": { | ||
"distribution": "2017.csv", | ||
"extract": { "column": "Trust..Government.Corruption." } | ||
}, | ||
"@type": "ml:Field", | ||
"name": "Trust..Government.Corruption.", | ||
"description": "Trust..Government.Corruption. column" | ||
}, | ||
{ | ||
"dataType": "sc:Float", | ||
"source": { | ||
"distribution": "2017.csv", | ||
"extract": { "column": "Dystopia.Residual" } | ||
}, | ||
"@type": "ml:Field", | ||
"name": "Dystopia.Residual", | ||
"description": "Dystopia.Residual column" | ||
} | ||
], | ||
"@type": "ml:RecordSet", | ||
"name": "2017.csv_records", | ||
"description": "Happiness rank and scores by country, 2017" | ||
}, | ||
{ | ||
"field": [ | ||
{ | ||
"dataType": "sc:Integer", | ||
"source": { | ||
"distribution": "2018.csv", | ||
"extract": { "column": "Overall rank" } | ||
}, | ||
"@type": "ml:Field", | ||
"name": "Overall-rank", | ||
"description": "Overall rank column" | ||
}, | ||
{ | ||
"dataType": "sc:Text", | ||
"source": { | ||
"distribution": "2018.csv", | ||
"extract": { "column": "Country or region" } | ||
}, | ||
"@type": "ml:Field", | ||
"name": "Country-or-region", | ||
"description": "Country or region column" | ||
}, | ||
{ | ||
"dataType": "sc:Float", | ||
"source": { | ||
"distribution": "2018.csv", | ||
"extract": { "column": "Score" } | ||
}, | ||
"@type": "ml:Field", | ||
"name": "Score", | ||
"description": "Score column" | ||
}, | ||
{ | ||
"dataType": "sc:Float", | ||
"source": { | ||
"distribution": "2018.csv", | ||
"extract": { "column": "GDP per capita" } | ||
}, | ||
"@type": "ml:Field", | ||
"name": "GDP-per-capita", | ||
"description": "GDP per capita column" | ||
}, | ||
{ | ||
"dataType": "sc:Float", | ||
"source": { | ||
"distribution": "2018.csv", | ||
"extract": { "column": "Social support" } | ||
}, | ||
"@type": "ml:Field", | ||
"name": "Social-support", | ||
"description": "Social support column" | ||
}, | ||
{ | ||
"dataType": "sc:Float", | ||
"source": { | ||
"distribution": "2018.csv", | ||
"extract": { "column": "Healthy life expectancy" } | ||
}, | ||
"@type": "ml:Field", | ||
"name": "Healthy-life-expectancy", | ||
"description": "Healthy life expectancy column" | ||
}, | ||
{ | ||
"dataType": "sc:Float", | ||
"source": { | ||
"distribution": "2018.csv", | ||
"extract": { "column": "Freedom to make life choices" } | ||
}, | ||
"@type": "ml:Field", | ||
"name": "Freedom-to-make-life-choices", | ||
"description": "Freedom to make life choices column" | ||
}, | ||
{ | ||
"dataType": "sc:Float", | ||
"source": { | ||
"distribution": "2018.csv", | ||
"extract": { "column": "Generosity" } | ||
}, | ||
"@type": "ml:Field", | ||
"name": "Generosity", | ||
"description": "Generosity column" | ||
}, | ||
{ | ||
"dataType": "sc:Text", | ||
"source": { | ||
"distribution": "2018.csv", | ||
"extract": { "column": "Perceptions of corruption" } | ||
}, | ||
"@type": "ml:Field", | ||
"name": "Perceptions-of-corruption", | ||
"description": "Perceptions of corruption column" | ||
} | ||
], | ||
"@type": "ml:RecordSet", | ||
"name": "2018.csv_records", | ||
"description": "Happiness rank and scores by country, 2018" | ||
}, | ||
{ | ||
"field": [ | ||
{ | ||
"dataType": "sc:Integer", | ||
"source": { | ||
"distribution": "2019.csv", | ||
"extract": { "column": "Overall rank" } | ||
}, | ||
"@type": "ml:Field", | ||
"name": "Overall-rank", | ||
"description": "Overall rank column" | ||
}, | ||
{ | ||
"dataType": "sc:Text", | ||
"source": { | ||
"distribution": "2019.csv", | ||
"extract": { "column": "Country or region" } | ||
}, | ||
"@type": "ml:Field", | ||
"name": "Country-or-region", | ||
"description": "Country or region column" | ||
}, | ||
{ | ||
"dataType": "sc:Float", | ||
"source": { | ||
"distribution": "2019.csv", | ||
"extract": { "column": "Score" } | ||
}, | ||
"@type": "ml:Field", | ||
"name": "Score", | ||
"description": "Score column" | ||
}, | ||
{ | ||
"dataType": "sc:Float", | ||
"source": { | ||
"distribution": "2019.csv", | ||
"extract": { "column": "GDP per capita" } | ||
}, | ||
"@type": "ml:Field", | ||
"name": "GDP-per-capita", | ||
"description": "GDP per capita column" | ||
}, | ||
{ | ||
"dataType": "sc:Float", | ||
"source": { | ||
"distribution": "2019.csv", | ||
"extract": { "column": "Social support" } | ||
}, | ||
"@type": "ml:Field", | ||
"name": "Social-support", | ||
"description": "Social support column" | ||
}, | ||
{ | ||
"dataType": "sc:Float", | ||
"source": { | ||
"distribution": "2019.csv", | ||
"extract": { "column": "Healthy life expectancy" } | ||
}, | ||
"@type": "ml:Field", | ||
"name": "Healthy-life-expectancy", | ||
"description": "Healthy life expectancy column" | ||
}, | ||
{ | ||
"dataType": "sc:Float", | ||
"source": { | ||
"distribution": "2019.csv", | ||
"extract": { "column": "Freedom to make life choices" } | ||
}, | ||
"@type": "ml:Field", | ||
"name": "Freedom-to-make-life-choices", | ||
"description": "Freedom to make life choices column" | ||
}, | ||
{ | ||
"dataType": "sc:Float", | ||
"source": { | ||
"distribution": "2019.csv", | ||
"extract": { "column": "Generosity" } | ||
}, | ||
"@type": "ml:Field", | ||
"name": "Generosity", | ||
"description": "Generosity column" | ||
}, | ||
{ | ||
"dataType": "sc:Float", | ||
"source": { | ||
"distribution": "2019.csv", | ||
"extract": { "column": "Perceptions of corruption" } | ||
}, | ||
"@type": "ml:Field", | ||
"name": "Perceptions-of-corruption", | ||
"description": "Perceptions of corruption column" | ||
} | ||
], | ||
"@type": "ml:RecordSet", | ||
"name": "2019.csv_records", | ||
"description": "Happiness rank and scores by country, 2019" | ||
} | ||
], | ||
"@type": "sc:Dataset", | ||
"name": "World-Happiness-Report", | ||
"description": "Happiness scored according to economic production, social support, etc." | ||
} |
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