add winogender and winograd

superlim-2.py

@@ -94,11 +94,11 @@ _SweSat_CITATION = """\
 _SweSim_DESCRIPTION = """\
 SuperSim is a large-scale similarity and relatedness test set for Swedish built with expert human judgments. The test set is composed of 1360 word-pairs independently judged for both relatedness and similarity by five annotators."""
 
-_SweWgr_DESCRIPTION = """\
+_SweWinogender_DESCRIPTION = """\
 The SweWinogender test set is diagnostic dataset to measure gender bias in coreference resolution. It is modelled after the English Winogender benchmark, 
 and is released with reference statistics on the distribution of men and women between occupations and the association between gender and occupation in modern corpus material."""
 
-_SweWsc_DESCRIPTION = """\
+_SweWinograd_DESCRIPTION = """\
 SweWinograd is a pronoun resolution test set, containing constructed items in the style of Winograd schema’s. The interpretation of the target pronouns is determined by (common sense) 
 reasoning and knowledge, and not by syntactic constraints, lexical distributional information or discourse structuring patterns. 
 The dataset contains 90 multiple choice with multiple correct answers test items."""
@@ -129,7 +129,10 @@ _TASKS = {
     "swesat": "swesat-synonyms",
     "swesim_relatedness": "supersim-superlim-relatedness",
     "swesim_similarity": "supersim-superlim-similarity",
-    "swewic": "swewic"
+    "swewic": "swewic",
+    "swewinogender": "swewinogender",
+    "swewinograd": "swewinograd"
+
 }
 
 class SuperLimConfig(datasets.BuilderConfig):
@@ -324,6 +327,43 @@ class SuperLim(datasets.GeneratorBasedBuilder):
                     "pos": datasets.Value("string")
                 })
             })
+        elif self.config.name == 'swewinogender':
+            features = datasets.Features({
+                "idx": datasets.Value(dtype='int32'),
+                'premise': datasets.Value("string"),
+                'hypothesis': datasets.Value("string"),
+                'label': datasets.ClassLabel(num_classes=3, names=['entailment', 'contradiction', 'neutral']),
+                'meta': datasets.Features({
+                    'tuple_id': datasets.Value("string"),
+                    'template_id': datasets.Value("string"),
+                    'occupation_participant': datasets.Value("string"),
+                    'other_participant': datasets.Value("string"),
+                    'pronoun': datasets.Value("string")
+                })
+            })
+        elif self.config.name == 'swewinograd':
+            features = datasets.Features({
+                "idx": datasets.Value(dtype='int32'),
+                'text': datasets.Value("string"),
+                'label': datasets.ClassLabel(num_classes=2, names=['not_coreferring', 'coreferring']),
+                'pronoun': datasets.Features({
+                    'text': datasets.Value("string"),
+                    'location': datasets.Features({
+                        "start": datasets.Value(dtype='int32'),
+                        "stop": datasets.Value(dtype='int32')
+                    })
+                }),
+                'candidate_antecedent': datasets.Features({
+                    "text": datasets.Value("string"),
+                    'location': datasets.Features({
+                        "start": datasets.Value(dtype='int32'),
+                        "stop": datasets.Value(dtype='int32')
+                    })
+                }),
+                'meta': datasets.Features({
+                    'snippet_id': datasets.Value("string")
+                })
+            })
         else:
             raise ValueError(f"Subset {self.config.name} does not exist.")
         return datasets.DatasetInfo(
@@ -471,12 +511,29 @@ class SuperLim(datasets.GeneratorBasedBuilder):
                     "label": row["label"],
                 }
             elif self.config.name == "swewic":
+                yield key, {
+                    "premise": row["premise"],
+                    "hypothesis": row["hypothesis"],
+                    "label": row["label"],
+                    "label": row["label"],
+                    "meta": row["meta"],
+                }
+            elif self.config.name == "swewinogender":
                 yield key, {
                     "idx": row["idx"],
-                    "first": row["first"],
+                    "text": row["text"],
                     "second": row["second"],
                     "label": row["label"],
-                    "meta": row["meta"],
+                    "pronoun": row["pronoun"],
+                }
+            elif self.config.name == "swewinograd":
+                yield key, {
+                    "idx": row["idx"],
+                    "text": row["text"],
+                    "label": row["label"],
+                    "pronoun": row["pronoun"],
+                    "candidate_antecedent": row["candidate_antecedent"],
+                    "meta": row["meta"]
                 }
             else:
                 raise ValueError(f"Subset {self.config.name} does not exist")