upload bimnli

OntoLAMA.py

@@ -39,7 +39,7 @@ _DESCRIPTION = """\
 OntoLAMA: LAnguage Model Analysis datasets for Ontology Subsumption Inference.
 """
 
-_URL = lambda name: f"https://zenodo.org/record/6480541/files/{name}.zip?download=1"
+_URL = lambda name: f"https://zenodo.org/record/7696383/files/{name}.zip?download=1"
 
 # TODO: Add a link to an official homepage for the dataset here
 _HOMEPAGE = "https://krr-oxford.github.io/DeepOnto/"
@@ -50,8 +50,7 @@ _LICENSE = "Apache License, Version 2.0"
 
 # TODO: Name of the dataset usually matches the script name with CamelCase instead of snake_case
 class OntoLAMA(datasets.GeneratorBasedBuilder):
-    """TODO: Short description of my dataset.
-    """
+    """TODO: Short description of my dataset."""
 
     VERSION = datasets.Version("1.0.0")
 
@@ -68,25 +67,22 @@ class OntoLAMA(datasets.GeneratorBasedBuilder):
     # data = datasets.load_dataset('my_dataset', 'second_domain')
     BUILDER_CONFIGS = [
         datasets.BuilderConfig(
-            name="schemaorg-atomic-SI", 
-            version=VERSION, 
-            description="Atomic SI dataset created from the Schema.org Ontology."
-            ),
+            name="bimnli", version=VERSION, description="BiMNLI dataset created from the MNLI dataset."
+        ),
         datasets.BuilderConfig(
-            name="doid-atomic-SI", 
-            version=VERSION, 
-            description="Atomic SI dataset created from the Disease Ontology."
-            ),
+            name="schemaorg-atomic-SI",
+            version=VERSION,
+            description="Atomic SI dataset created from the Schema.org Ontology.",
+        ),
         datasets.BuilderConfig(
-            name="foodon-atomic-SI", 
-            version=VERSION, 
-            description="Atomic SI dataset created from the Food Ontology."
-            ),
+            name="doid-atomic-SI", version=VERSION, description="Atomic SI dataset created from the Disease Ontology."
+        ),
         datasets.BuilderConfig(
-            name="go-atomic-SI", 
-            version=VERSION, 
-            description="Atomic SI dataset created from Gene Ontology."
-            ),
+            name="foodon-atomic-SI", version=VERSION, description="Atomic SI dataset created from the Food Ontology."
+        ),
+        datasets.BuilderConfig(
+            name="go-atomic-SI", version=VERSION, description="Atomic SI dataset created from the Gene Ontology."
+        ),
     ]
 
     def _info(self):
@@ -96,22 +92,39 @@ class OntoLAMA(datasets.GeneratorBasedBuilder):
                 {
                     "v_sub_concept": datasets.Value("string"),
                     "v_super_concept": datasets.Value("string"),
-                    'label': datasets.ClassLabel(num_classes=2, names=['negative_subsumption', 'positive_subsumption'], names_file=None, id=None),
+                    "label": datasets.ClassLabel(
+                        num_classes=2, names=["negative_subsumption", "positive_subsumption"], names_file=None, id=None
+                    ),
                     "axiom": datasets.Value("string"),
                     # These are the features of your dataset like images, labels ...
                 }
             )
-        elif "complex-SI" in self.config.name:  # This is an example to show how to have different features for "first_domain" and "second_domain"
+        elif (
+            "complex-SI" in self.config.name
+        ):  # This is an example to show how to have different features for "first_domain" and "second_domain"
             features = datasets.Features(
                 {
                     "v_sub_concept": datasets.Value("string"),
                     "v_super_concept": datasets.Value("string"),
-                    'label': datasets.ClassLabel(num_classes=2, names=['negative_subsumption', 'positive_subsumption'], names_file=None, id=None),
+                    "label": datasets.ClassLabel(
+                        num_classes=2, names=["negative_subsumption", "positive_subsumption"], names_file=None, id=None
+                    ),
                     "axiom": datasets.Value("string"),
                     "anchor_axiom": datasets.Value("string")  # the equivalence axiom used as anchor
                     # These are the features of your dataset like images, labels ...
                 }
             )
+        elif self.config.name == "bimnli":
+            features = datasets.Features(
+                {
+                    "premise": datasets.Value("string"),
+                    "hypothesis": datasets.Value("string"),
+                    "label": datasets.ClassLabel(
+                        num_classes=2, names=["contradiction", "entailment"], names_file=None, id=None
+                    ),
+                }
+            )
+
         return datasets.DatasetInfo(
             # This is the description that will appear on the datasets page.
             description=_DESCRIPTION,
@@ -157,10 +170,7 @@ class OntoLAMA(datasets.GeneratorBasedBuilder):
             datasets.SplitGenerator(
                 name=datasets.Split.TEST,
                 # These kwargs will be passed to _generate_examples
-                gen_kwargs={
-                    "filepath": os.path.join(data_dir, self.config.name, "test.jsonl"),
-                    "split": "test"
-                },
+                gen_kwargs={"filepath": os.path.join(data_dir, self.config.name, "test.jsonl"), "split": "test"},
             ),
         ]
 
@@ -187,3 +197,9 @@ class OntoLAMA(datasets.GeneratorBasedBuilder):
                         "axiom": data["axiom"],
                         "anchor_axiom": data["anchor_axiom"],
                     }
+                elif self.config.name == "bimnli":
+                    yield key, {
+                        "premise": data["premise"],
+                        "hypothesis": data["hypothesis"],
+                        "label": data["label"],
+                    }

README.md

@@ -12,32 +12,6 @@ size_categories:
 language:
 - en
 dataset_info:
-- config_name: default
-  features:
-  - name: v_sub_concept
-    dtype: string
-  - name: v_super_concept
-    dtype: string
-  - name: label
-    dtype:
-      class_label:
-        names:
-          '0': negative_subsumption
-          '1': positive_subsumption
-  - name: axiom
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 152537233
-    num_examples: 772870
-  - name: validation
-    num_bytes: 19060490
-    num_examples: 96608
-  - name: test
-    num_bytes: 19069265
-    num_examples: 96610
-  download_size: 53310393
-  dataset_size: 190666988
 - config_name: schemaorg-atomic-SI
   features:
   - name: v_sub_concept
@@ -142,6 +116,30 @@ dataset_info:
     num_examples: 96610
   download_size: 32379717
   dataset_size: 190666988
+- config_name: bimnli
+  features:
+  - name: premise
+    dtype: string
+  - name: hypothesis
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': contradiction
+          '1': entailment
+  splits:
+  - name: train
+    num_bytes: 43363266
+    num_examples: 235622
+  - name: validation
+    num_bytes: 4818648
+    num_examples: 26180
+  - name: test
+    num_bytes: 2420273
+    num_examples: 12906
+  download_size: 19264134
+  dataset_size: 50602187
 ---
 
 # OntoLAMA: LAnguage Model Analysis for Ontology Subsumption Inference