Update SemEval2018Task7.py

SemEval2018Task7.py

@@ -76,7 +76,7 @@ _LICENSE = ""
 # 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)
 _URLS = {
-    "clean": {
+    "Subtask_1_1": {
         "train": {
             "relations": "https://raw.githubusercontent.com/gkata/SemEval2018Task7/testing/1.1.relations.txt",
             "text": "https://raw.githubusercontent.com/gkata/SemEval2018Task7/testing/1.1.text.xml",
@@ -86,7 +86,7 @@ _URLS = {
             "text": "https://raw.githubusercontent.com/gkata/SemEval2018Task7/testing/1.1.test.text.xml",
         },
     },
-    "noisy": {
+    "Subtask_1_2": {
         "train": {
             "relations": "https://raw.githubusercontent.com/gkata/SemEval2018Task7/testing/1.2.relations.txt",
             "text": "https://raw.githubusercontent.com/gkata/SemEval2018Task7/testing/1.2.text.xml",
@@ -95,8 +95,8 @@ _URLS = {
             "relations": "https://raw.githubusercontent.com/gkata/SemEval2018Task7/testing/1.2.test.relations.txt",
             "text": "https://raw.githubusercontent.com/gkata/SemEval2018Task7/testing/1.2.test.text.xml",
         },
-    }
-
+    },
+    
 }
 
 
@@ -162,15 +162,16 @@ class Semeval2018Task7(datasets.GeneratorBasedBuilder):
     VERSION = datasets.Version("1.1.0")
 
     BUILDER_CONFIGS = [
-        datasets.BuilderConfig(name="clean", version=VERSION,
+        datasets.BuilderConfig(name="Subtask_1_1", version=VERSION,
                                description="Relation classification on clean data"),
-        datasets.BuilderConfig(name="noisy", version=VERSION,
+        datasets.BuilderConfig(name="Subtask_1_2", version=VERSION,
                                description="Relation classification on noisy data"),
+        
     ]
-    DEFAULT_CONFIG_NAME = "clean"
+    DEFAULT_CONFIG_NAME = "Subtask_1_1"
 
     def _info(self):
-        class_labels = ["USAGE", "RESULT", "MODEL-FEATURE", "PART_WHOLE", "TOPIC", "COMPARE"]
+        class_labels = ["","USAGE", "RESULT", "MODEL-FEATURE", "PART_WHOLE", "TOPIC", "COMPARE"]
         features = datasets.Features(
             {
                 "id": datasets.Value("string"),
@@ -218,22 +219,33 @@ class Semeval2018Task7(datasets.GeneratorBasedBuilder):
         # By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
         urls = _URLS[self.config.name]
         downloaded_files = dl_manager.download(urls)
-        #print(downloaded_files)
+        print(downloaded_files)
 
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
-                    "relation_filepath": downloaded_files[datasets.Split.TRAIN]["relations"],
-                    "text_filepath": downloaded_files[datasets.Split.TRAIN]["text"],
+                    "relation_filepath": downloaded_files['train']["relations"],
+                    "text_filepath": downloaded_files['train']["text"],
+                    
                 }
 
-            )]
-        # TODO: test split does not contain relations, how to do
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={
+                    "relation_filepath": downloaded_files['test']["relations"],
+                    "text_filepath": downloaded_files['test']["text"],
+                    
+                }
 
+            )]
+        
     # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
     def _generate_examples(self, relation_filepath, text_filepath):
+        
         # 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.
         with open(relation_filepath, encoding="utf-8") as f: