Dataset

Describe the nature, shape, number of items and other properties of the dataset involved in your task. If you are performing inferences, please indicate the average size of the data sent for a single inference and fill in the number of inferences in the propertiy: inferenceProperties

dataUsage(string)

the use of the dataset: is it used as model input or output ?

Type: string
Required: True
Valid Values:
"input"
"output"

dataType(string)

the nature of the data used

Type: string
Required: True
Valid Values:
"tabular"
"audio"
"boolean"
"image"
"video"
"object"
"text"
"token"
"word"
"other"

dataFormat(string)

if the data is passed in the form of a file, what format is the data in?

Type: string
Required: False
Valid Values:
"3gp"
"3gpp"
"3gpp2"
"8svx"
"aa"
"aac"
"aax"
"act"
"afdesign"
"afphoto"
"ai"
"aiff"
"alac"
"amr"
"amv"
"ape"
"arrow"
"asf"
"au"
"avi"
"avif"
"awb"
"bmp"
"bpg"
"cd5"
"cda"
"cdr"
"cgm"
"clip"
"cpt"
"csv"
"deep"
"dirac"
"divx"
"drawingml"
"drw"
"dss"
"dvf"
"ecw"
"eps"
"fits"
"flac"
"flif"
"flv"
"flvf4v"
"gem"
"gerber"
"gif"
"gle"
"gsm"
"heif"
"hp-gl"
"html"
"hvif"
"ico"
"iklax"
"ilbm"
"img"
"ivs"
"jpeg"
"json"
"kra"
"lottie"
"m4a"
"m4b"
"m4p"
"m4v"
"mathml"
"matroska"
"mdp"
"mmf"
"movpkg"
"mp3"
"mpc"
"mpeg1"
"mpeg2"
"mpeg4"
"msv"
"mxf"
"naplps"
"netpbm"
"nmf"
"nrrd"
"nsv"
"odg"
"ods"
"ogg"
"opus"
"pam"
"parquet"
"pbm"
"pcx"
"pdf"
"pdn"
"pgf"
"pgm"
"pgml"
"pict"
"plbm"
"png"
"pnm"
"postscript"
"ppm"
"psd"
"psp"
"pstricks"
"qcc"
"quicktime"
"ra"
"raw"
"realmedia"
"regis"
"rf64"
"roq"
"sai"
"sgi"
"sid"
"sql"
"sln"
"svg"
"svi"
"swf"
"text"
"tga"
"tiff"
"tinyvg"
"tta"
"vicar"
"vivoactive"
"vml"
"vob"
"voc"
"vox"
"wav"
"webm"
"webp"
"wma"
"wmf"
"wmv"
"wv"
"xaml"
"xar"
"xcf"
"xisf"
"xls"
"xlsx"
"xml"
"xps"
"yaml"
"other"
"None"

dataSize(number)

the size of the dataset (in Go), if small quantity just fill the field nbItems

Type: number
Required: False

dataQuantity(number)

the number of data in the dataset, e.g. 3 (images, audio or tokens)

Type: number
Required: False

shape(string)

the shape of your dataset, can be found with X.shape with dataframes, e.g. (12, 1000) for a 2D table with 12 columns and 1000 rows

Type: string
Required: False

source(string)

the kind of source of the dataset

Type: string
Required: False
Valid Values:
"public"
"private"
"other"

sourceUri(string)

the URI of the dataset if available

Type: string
Required: False

owner(string)

the owner of the dataset if available

Type: string
Required: False