test done

rumoureval_2019.py

@@ -51,12 +51,12 @@ class RumourEval2019Config(datasets.BuilderConfig):
         super(RumourEval2019Config, self).__init__(**kwargs)
 
 class RumourEval2019(datasets.GeneratorBasedBuilder):
-    """TODO: Short description of my dataset."""
+    """RumourEval2019 Stance Detection Dataset formatted in triples of (source_text, reply_text, label)"""
 
     VERSION = datasets.Version("0.9.0")
 
     BUILDER_CONFIGS = [
-        RumourEval2019Config(name="RumourEval2019", version=VERSION, description="Stance Detection texts"),
+        RumourEval2019Config(name="RumourEval2019", version=VERSION, description="Stance Detection Dataset"),
     ]
     
     def _info(self):
@@ -87,23 +87,21 @@ class RumourEval2019(datasets.GeneratorBasedBuilder):
     def _split_generators(self, dl_manager):
         train_text = dl_manager.download_and_extract("rumoureval2019_train.csv")
         validation_text = dl_manager.download_and_extract("rumoureval2019_val.csv")
+        test_text = dl_manager.download_and_extract("rumoureval2019_test.csv")
         return [
             datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": train_text, "split": "train"}),
-            datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": validation_text, "split": "validation"})
+            datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": validation_text, "split": "validation"}),
+            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": test_text, "split": "test"}),
         ]
 
-    # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
     def _generate_examples(self, filepath, split):
-        # TODO: This method handles input defined in _split_generators to yield (key, example) tuples from the dataset.
-        # The `key` is for legacy reasons (tfds) and is not important in itself, but must be unique for each example.
-        if split == "train" or split == "validation":
-            with open(filepath, encoding="utf-8") as f:
-                reader = csv.DictReader(f, delimiter=",")
-                guid = 0
-                for instance in reader:
-                    instance["source_text"] = instance.pop("source_text")
-                    instance["reply_text"] = instance.pop("reply_text")
-                    instance["label"] = instance.pop("label")
-                    instance['id'] = str(guid)
-                    yield guid, instance
-                    guid += 1
+        with open(filepath, encoding="utf-8") as f:
+            reader = csv.DictReader(f, delimiter=",")
+            guid = 0
+            for instance in reader:
+                instance["source_text"] = instance.pop("source_text")
+                instance["reply_text"] = instance.pop("reply_text")
+                instance["label"] = instance.pop("label")
+                instance['id'] = str(guid)
+                yield guid, instance
+                guid += 1