update BLURB.py - biosses added

BLURB.py

@@ -17,7 +17,7 @@ logger = datasets.logging.get_logger(__name__)
 class BlurbConfig(datasets.BuilderConfig):
     """BuilderConfig for BLURB."""
 
-    def __init__(self, task, data_url, citation, homepage, label_classes=("False", "True"), **kwargs):
+    def __init__(self, task, data_url, citation, homepage, label_classes=None, **kwargs):
         """BuilderConfig for BLURB.
         Args:
             task: `string` task the dataset is used for: 'ner', 'pico', 'rel-ext', 'sent-sim', 'doc-clas', 'qa'
@@ -52,6 +52,16 @@ class BlurbConfig(datasets.BuilderConfig):
                         "validation": f"{self.base_url}{'devel.tsv'}",
                         "test": f"{self.base_url}{'test.tsv'}"
                         }
+        if self.task == 'sent-sim':
+            self.features = datasets.Features(
+                {
+                    "sentence1": datasets.Value("string"),
+                    "sentence2": datasets.Value("string"),
+                    "score": datasets.Value("float32"),
+                }
+            )
+            
+         
 
 
 class Blurb(datasets.GeneratorBasedBuilder):
@@ -90,6 +100,11 @@ class Blurb(datasets.GeneratorBasedBuilder):
                     description=DESCRIPTIONS['JNLPBA'],
                     citation=CITATIONS['JNLPBA'],
                     homepage=HOMEPAGES['JNLPBA']),
+    BlurbConfig(name='BIOSSES', task='sent-sim', label_classes=None,
+                    data_url = DATA_URL['BIOSSES'],
+                    description=DESCRIPTIONS['BIOSSES'],
+                    citation=CITATIONS['BIOSSES'],
+                    homepage=HOMEPAGES['BIOSSES']),
 
   ]
 
@@ -104,16 +119,13 @@ class Blurb(datasets.GeneratorBasedBuilder):
       )
 
   def _split_generators(self, dl_manager):
-      """Returns SplitGenerators."""
-      print(self.config.base_url)
-      print(self.config.data_url)
-      for i in self.config.urls:    
-        print(self.config.urls[i])
-      
+      """Returns SplitGenerators."""      
       if self.config.task == 'ner':
         downloaded_files = dl_manager.download_and_extract(self.config.urls)
-
-      return self._ner_split_generator(downloaded_files)
+        return self._ner_split_generator(downloaded_files)
+      if self.config.task == 'sent-sim':
+        downloaded_file = dl_manager.download_and_extract(self.config.data_url)
+        return [datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_file})]
 
 
   def _generate_examples(self, filepath):
@@ -122,6 +134,8 @@ class Blurb(datasets.GeneratorBasedBuilder):
 
     if self.config.task == 'ner':
       return self._ner_example_generator(filepath)
+    if self.config.task == 'sent-sim':
+      return self._sentsim_example_generator(filepath)
 
   def _ner_split_generator(self, downloaded_files):
       return [
@@ -160,3 +174,15 @@ class Blurb(datasets.GeneratorBasedBuilder):
             "tokens": tokens,
             "ner_tags": ner_tags,
         }
+
+
+    def _sentsim_example_generator(self, filepath):
+        """Yields examples as (key, example) tuples."""
+
+        df = pd.read_csv(filepath, sep="\t", encoding="utf-8")
+        for idx, row in df.iterrows():
+            yield idx, {
+                "sentence1": row["sentence1"],
+                "sentence2": row["sentence2"],
+                "score": row["score"],
+            }