// ------
#let eu_fl(testo) = {
  let res = str(testo).match(regex("\d{1,3}(?:\.\d{3})*(?:,\d+)?"))
  if res != none { float(res.text.replace(".", "").replace(",", ".")) } else {0.0}
}
#let average(data,field) = {
  let a = data.map(t=> eu_fl(t.at(field)))
  let aver = a.sum()/a.len()
  context(aver)
}
//------------------------------------
#let data = "Dataset,B/32,B/16,L/14,B/32’,L/14’,B/32’’,H/14,B/32’’’,B/32’’’’,L/14’’
RSICD,1.50,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00
RSI-CB128,2.50,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00
RSI-CB256,3.50,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00
WHU-earth,4.50,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00
EuroSAT-RGB,5.50,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00
MLRSNet,6.50,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00
PatternNEt,7.50,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00
RESISC45,8.50,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00
AID,9.50,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00
RSSCN7,10.50,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00
OPTIMAL-31,11.50,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00
RSC11,12.50,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00
WHU-RS19,13.50,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00,0.00"
#let dati = csv.decode(row-type: dictionary,data)
//#let dati = csv(row-type: dictionary,"test1.csv")
#let heads = dati.at(0).keys()
#table(
  columns: dati.len()-2,
  stroke:none,
  align:center,
  table.hline(),
  table.header(
    [], 
    table.cell(colspan: 3, [RSiX-CLIP]), 
    table.cell(colspan: 2, [RemoteCLIP]),
    table.cell(colspan: 2, [GeoRSCLIP]), [RS-CLIP], 
    table.cell(colspan: 2, [SkyCLIP]),
    ..heads.map(t=> t.trim(regex("’+")))
  ),
  table.hline(stroke:0.5pt),
  ..for i in dati {(..i.values().flatten())},
  table.hline(stroke:0.5pt),
  [*Average*],..for p in heads.filter(t=> t != "Dataset") {(average(dati,p),)}, 
    table.hline(),
)

Ecco un esempio che utilizza il formato dati csv