add swedn

data/swedn/swedn_dev.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0a8ac817d8f7bb3e59ff008680cbb02ff4f7218f6a915e3c36fae0df01332e3e
+size 20418447

data/swedn/swedn_test.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1fb1420cf291cb695c5b12db36b99f366bed2574e5e0670b982ab520e327af11
+size 23361494

data/swedn/swedn_train.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d7e291c4b7629e9b1fbab8cf8bd5d2517d83e76a2297e303b176cf2f8009d299
+size 100456191

superlim-2.py

@@ -57,6 +57,10 @@ Färdig preliminär översättning av SuperGLUE diagnostik. Datan innehåller al
 med deras svenska översättningar."""
 _SweDiag_CITATION = """\
 """
+_SweDN_DESCRIPTION = """\
+AbstractThe SWE-DN corpus is based on 1,963,576 news articles from the Swedish newspaper Dagens Nyheter (DN) during the years 2000--2020. The articles are filtered to resemble the CNN/DailyMail dataset both regarding textual structure"""
+_SweDiag_CITATION = """\
+"""
 _SweFaq_DESCRIPTION = """\
 Vanliga frågor från svenska myndigheters webbsidor med svar i randomiserad ordning"""
 _SweFaq_CITATION = """\
@@ -120,6 +124,7 @@ _TASKS = {
     "swepar": "sweparaphrase",
     "swesat": "swesat-synonyms",
     "swewic": "swewic",
+    "swedn": "swedn",
     "swefracas": "swefracas",
     "swediagnostics": "swediagnostics"
 }
@@ -168,6 +173,7 @@ class SuperLim(datasets.GeneratorBasedBuilder):
         datasets.BuilderConfig(name="swefaq", version=VERSION, description=_SweFaq_DESCRIPTION),
         datasets.BuilderConfig(name="swepar", version=VERSION, description=_SwePar_DESCRIPTION),
         datasets.BuilderConfig(name="swesat", version=VERSION, description=_SweSat_DESCRIPTION),
+        datasets.BuilderConfig(name="swedn", version=VERSION, description=_SweDN_DESCRIPTION),
         datasets.BuilderConfig(name="swewic", version=VERSION, description=_SweWic_DESCRIPTION),
         datasets.BuilderConfig(name="argumentation_sent", version=VERSION, description=_argumentation_sentences_DESCRIPTION),
         datasets.BuilderConfig(name="swefracas", version=VERSION, description=_SweFracas_DESCRIPTION),
@@ -288,7 +294,6 @@ class SuperLim(datasets.GeneratorBasedBuilder):
                     'label':datasets.Value("string")
                 }
             )
-
         elif self.config.name == 'swedn':
             features = datasets.Features(
                 {