Adding medical subdomain classification

raft.py

@@ -55,6 +55,10 @@ _URLs = {
     'AIInitiatives': {
         'train': "./data/AIInitiatives/train.csv",
         'test': "./data/AIInitiatives/test.csv"
+    },
+    'MedicalDomain': {
+        'train': "./data/MedicalDomain/train.csv",
+        'test': "./data/MedicalDomain/test.csv"
     }
 }  # TODO: Generate these automatically.
 
@@ -83,10 +87,13 @@ class Raft(datasets.GeneratorBasedBuilder):
                                            "safety or technical safety."),
         datasets.BuilderConfig(name="AIInitiatives-multilabel", version=VERSION,
                                description="For each initiative, decide which (if any) of Ethics, "
-                                           "Governance, and Social Good apply to the initiative's AI goals")
+                                           "Governance, and Social Good apply to the initiative's AI goals"),
+        datasets.BuilderConfig(name="MedicalDomain-multiclass", version=VERSION,
+                               description="Which medical subdomain does a given physician's clinical notes "
+                                           "belong to?"),
     ]
 
-    DEFAULT_CONFIG_NAME = "TAISafety/binary"  # It's not mandatory to have a default configuration. Just use one if it make sense.
+    DEFAULT_CONFIG_NAME = "TAISafety-binary"  # 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
@@ -117,6 +124,13 @@ class Raft(datasets.GeneratorBasedBuilder):
                     "answer_socialgood": datasets.Value("string"),
                 }
             )
+        elif self.config.name.startswith("MedicalDomain"):
+            features = datasets.Features(
+                {
+                    "text": datasets.Value("string"),
+                    "answer": datasets.Value("string"),
+                }
+            )
         return datasets.DatasetInfo(
             # This is the description that will appear on the datasets page.
             description=_DESCRIPTION,
@@ -185,7 +199,7 @@ class Raft(datasets.GeneratorBasedBuilder):
                         stage, date, country, notes, answer_ethics, \
                         answer_governance, answer_socialgood = row
                     if split == "test":
-                        answer = ""
+                        answer_ethics, answer_governance, answer_socialgood = "", "", ""
                     yield id_, {"name": name,
                                 "organization": organization,
                                 "description": description,
@@ -199,3 +213,10 @@ class Raft(datasets.GeneratorBasedBuilder):
                                 "answer_ethics": answer_ethics,
                                 "answer_governance": answer_governance,
                                 "answer_socialgood": answer_socialgood}
+                if dataset == "MedicalDomain":
+                    text, answer = row
+                    if split == "test":
+                        answer = ""
+                    yield id_, {"text": text,
+                                "answer": answer}
+