changed URL to github and added 3 new datasets (swedn, swefracas, swediangostics)

superlim-2.py

@@ -108,24 +108,22 @@ The original dataset can be found here https://github.com/trtm/AURC.  The test s
 _argumentation_sentences_DESCRIPTION_CITATION = """\
 """
 
-# TODO: Add link to the official dataset URLs here
-# The HuggingFace Datasets library doesn't host the datasets but only points to the original files.
-# This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
-_URL = "https://huggingface.co/datasets/sbx/superlim-2/raw/main/data/"
+_URL = "https://github.com/spraakbanken/SuperLim-dev/"
 _TASKS = {    
-    "absabank": "ABSAbank-Imm",
-    "dalaj": "DaLAJ",
-    "swesim_relatedness": "SuperSim_relatedness",
-    "swesim_similarity": "SuperSim_similarity",
-    "sweana": "SweAnalogy",
-    "swefaq": "SweFAQ",
-    "swepar": "SweParaphrase",
-    "swesat": "SweSAT-synonyms",
-    "swewic": "SweWIC",
-    "argumentation_sent":"argumentation_sentences"
+    "absabank": "absabank-imm",
+    "argumentation_sent":"argumentation-sentences",
+    "dalaj": "dalag-ged-superlim",
+    "swesim_relatedness": "supersim-superlim/supersim-superlim-relatedness",
+    "swesim_similarity": "supersim-superlim/supersim-superlim-similarity",
+    "sweana": "sweanalogy",
+    "swefaq": "swefaq",
+    "swepar": "sweparaphrase",
+    "swesat": "swesat-synonyms",
+    "swewic": "swewic",
+    "swefracas": "swefracas",
+    "swediagnostics": "swediagnostics"
 }
 
-
 class SuperLimConfig(datasets.BuilderConfig):
     """BuilderConfig for SuperLim."""
 
@@ -171,7 +169,8 @@ class SuperLim(datasets.GeneratorBasedBuilder):
         datasets.BuilderConfig(name="swepar", version=VERSION, description=_SwePar_DESCRIPTION),
         datasets.BuilderConfig(name="swesat", version=VERSION, description=_SweSat_DESCRIPTION),
         datasets.BuilderConfig(name="swewic", version=VERSION, description=_SweWic_DESCRIPTION),
-        datasets.BuilderConfig(name="argumentation_sent", version=VERSION, description=_argumentation_sentences_DESCRIPTION)
+        datasets.BuilderConfig(name="argumentation_sent", version=VERSION, description=_argumentation_sentences_DESCRIPTION),
+        datasets.BuilderConfig(name="swefracas", version=VERSION, description=_argumentation_sentences_DESCRIPTION)
     ]
 
     def _info(self):
@@ -267,8 +266,7 @@ class SuperLim(datasets.GeneratorBasedBuilder):
                     "end_1": datasets.Value("string"),
                     "end_2": datasets.Value("string"),
                 }
-            )
-            
+            ) 
         elif self.config.name == 'argumentation_sent':
             features = datasets.Features(
                 {
@@ -277,7 +275,39 @@ class SuperLim(datasets.GeneratorBasedBuilder):
                     "sentence": datasets.Value("string")
                 }
             )
-            
+        elif self.config.name == 'swefracas':
+            features = datasets.Features(
+                {
+                    "id": datasets.Value("id"),
+                    "original_id": datasets.Value("string"),
+                    "attribute": datasets.Value("string"),
+                    "value": datasets.Value("string")
+                }
+            )
+        elif self.config.name == 'swediagnostics':
+            features = datasets.Features(
+                {
+                    'lexical_semantics': datasets.Value("string"), 
+                    'predicate_argument_structure': datasets.Value("string"),
+                    'logic': datasets.Value("string"),
+                    'knowledge': datasets.Value("string"),
+                    'domain': datasets.Value("string"),
+                    'premise': datasets.Value("string"),
+                    'hypothesis': datasets.Value("string"),
+                    'label':datasets.Value("string")
+                }
+            )
+
+        elif self.config.name == 'swedn':
+            features = datasets.Features(
+                {
+                    "id": datasets.Value("id"),
+                    "headline": datasets.Value("string"),
+                    "summary": datasets.Value("string"),
+                    "article": datasets.Value("string"),
+                    "article_category": datasets.Value("string")
+                }
+            )
         else:
             raise ValueError(f"Subset {self.config.name} does not exist.")
         return datasets.DatasetInfo(
@@ -309,7 +339,7 @@ class SuperLim(datasets.GeneratorBasedBuilder):
             },
         )
         splits.append(split_test)
-        if self.config.name in ("absabank", "dalaj", "swefaq", "swewic"):
+        if self.config.name in ("absabank", "dalaj", "swefaq", "swewic", "swedn"):
             data_dir_dev = dl_manager.download_and_extract(os.path.join(_URL,_TASKS[self.config.name],f"dev.{file_format}"))
             split_dev = datasets.SplitGenerator(
                 name=datasets.Split.VALIDATION,
@@ -320,7 +350,7 @@ class SuperLim(datasets.GeneratorBasedBuilder):
                 },
             )
             splits.append(split_dev)
-        if self.config.name in ("absabank", "dalaj", "swefaq", "swewic", "argumentation_sent"):
+        if self.config.name in ("absabank", "dalaj", "swefaq", "swewic", "argumentation_sent", "swedn"):
             data_dir_train = dl_manager.download_and_extract(os.path.join(_URL,_TASKS[self.config.name],f"train.{file_format}"))
             split_train = datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
@@ -440,5 +470,32 @@ class SuperLim(datasets.GeneratorBasedBuilder):
                     "sentence" : row["sentence"],
                 }
             
+            elif self.config.name == "swediagnostics":
+                yield key, {
+                    'lexical_semantics': row['lexical_semantics'],
+                    'predicate_argument_structure': row['predicate_argument_structure'],
+                    'logic': row['logic'],
+                    'knowledge': row['knowledge'],
+                    'domain': row['domain'],
+                    'premise': row['premise'],
+                    'hypothesis': row['hypothesis'],
+                    'label': row['label']
+                }
+
+            elif self.config.name == "swefracas":
+                yield key, {
+                    'original_id': row['original_id'],
+                    'attribute': row['attribute'],
+                    'value': row['value']
+                }
+
+            elif self.config.name == "swedn":
+                yield key, {
+                    'id': row['id'],
+                    'headline': row['headline'],
+                    'summary': row['summary'],
+                    'article': row['article'],
+                    'article_category': row['article_category']
+                }
             else:
                 raise ValueError(f"Subset {self.config.name} does not exist")