OMLDataSetDescription: Construct OMLDataSetDescription.
In openml/oml-r: Open Machine Learning and Open Data Platform

Creates a description for an OMLDataSet. To see a full list of all elements, please see the XSD.

makeOMLDataSetDescription(id = 0L, name, version = "0", description,
  format = "ARFF", creator = NA_character_,
  contributor = NA_character_, collection.date = NA_character_,
  upload.date = as.POSIXct(Sys.time()), language = NA_character_,
  licence = NA_character_, url = NA_character_,
  default.target.attribute = NA_character_,
  row.id.attribute = NA_character_, ignore.attribute = NA_character_,
  version.label = NA_character_, citation = NA_character_,
  visibility = NA_character_, original.data.url = NA_character_,
  paper.url = NA_character_, update.comment = NA_character_,
  md5.checksum = NA_character_, status = NA_character_,
  tags = NA_character_)

`id`	[`integer(1)`] Data set ID, autogenerated by the server. Ignored when set manually.
`name`	[`character(1)`] The name of the data set.
`version`	[`character(1)`] Version of the data set, autogenerated by the server. Ignored when set manually.
`description`	[`character(1)`] Description of the data set, given by the uploader.
`format`	[`character(1)`] Format of the data set. At the moment this is always "ARFF".
`creator`	[`character`] The person(s), that created this data set. Optional.
`contributor`	[`character`] People, that contibuted to this version of the data set (e.g., by reformatting). Optional.
`collection.date`	[`character(1)`] The date the data was originally collected. Given by the uploader. Optional.
`upload.date`	[`POSIXt`] The date the data was uploaded. Added by the server. Ignored when set manually.
`language`	[`character(1)`] Language in which the data is represented. Starts with 1 upper case letter, rest lower case, e.g. 'English'
`licence`	[`character(1)`] Licence of the data. `NA` means: Public Domain or "don't know/care".
`url`	[`character(1)`] Valid URL that points to the data file.
`default.target.attribute`	[`character`] The default target attribute, if it exists. Of course, tasks can be defined that use another attribute as target.
`row.id.attribute`	[`character(1)`] The attribute that represents the row-id column, if present in the data set. Else `NA`.
`ignore.attribute`	[`character`] Attributes that should be excluded in modelling, such as identifiers and indexes. Optional.
`version.label`	[`character(1)`] Version label provided by user, something relevant to the user. Can also be a date, hash, or some other type of id.
`citation`	[`character(1)`] Reference(s) that should be cited when building on this data.
`visibility`	[`character(1)`] Who can see the data set. Typical values: 'Everyone', 'All my friends', 'Only me'. Can also be any of the user's circles.
`original.data.url`	[`character(1)`] For derived data, the url to the original data set. This can be an OpenML data set, e.g. 'http://openml.org/d/1'.
`paper.url`	[`character(1)`] Link to a paper describing the data set.
`update.comment`	[`character(1)`] When the data set is updated, add an explanation here.
`md5.checksum`	[`character(1)`] MD5 checksum to check if the data set is downloaded without corruption. Can be ignored by user.
`status`	[`character(1)`] The status of the data set, autogenerated by the server. Ignored when set manually.
`tags`	[`character`] Optional tags for the data set.