update

SuperLim.py

@@ -18,7 +18,6 @@
 
 import json
 import os
-
 import datasets
 
 _CITATION = """\
@@ -127,7 +126,7 @@ The Swedish Word-in-Context dataset provides a benchmark for evaluating distribu
 # This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
 _URL = "https://huggingface.co/datasets/AI-Sweden/SuperLim/resolve/main/data/"
 _TASKS = {
-    "dalaj": "DaLAJ",
+    "dalaj": "DaLAJ.tar.xz",
     "sweana": "SweAna",
     "swediag": "SweDiag",
     "swefaq": "SweFaq",
@@ -168,8 +167,6 @@ class SuperLim(datasets.GeneratorBasedBuilder):
         datasets.BuilderConfig(name="swewsc", version=VERSION, description=_SweWsc_DESCRIPTION),
     ]
 
-    DEFAULT_CONFIG_NAME = "swewic"  # It's not mandatory to have a default configuration. Just use one if it make sense.
-
     
     def _info(self):
         # TODO: This method specifies the datasets.DatasetInfo object which contains informations and typings for the dataset
@@ -215,6 +212,8 @@ class SuperLim(datasets.GeneratorBasedBuilder):
         # By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
         #urls = _URLS[self.config.name]
         data_dir = dl_manager.download_and_extract(os.path.join(_URL,_TASKS[self.config.name]))
+        data_dir = os.path.join(data_dir,self.config.task_name)
+    
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,