Add sockette loader

SOCKET.py

@@ -33,7 +33,7 @@ _DESCRIPTION = """\
 A unified evaluation benchmark dataset for evaludating socialbility of NLP models.
 """
 
-_HOMEPAGE = "TBD"
+_HOMEPAGE = "https://github.com/minjechoi/SOCKET"
 
 _LICENSE = ""
 
@@ -121,11 +121,10 @@ for tasks in TASK_DICT.values():
     TASK_NAMES.extend(tasks)
 TASK_NAMES = sorted(TASK_NAMES)
 
-print(len(TASK_NAMES))
 _URLs = {}
 for task in TASK_NAMES:
     _URLs[task] = {}
-    for s in ['train', 'test', 'val']:
+    for s in ['train', 'test', 'val', 'sockette']:
         for t in ['text', 'labels']:
             task_url = '%s%s/%s_%s.txt'%(URL,task,s,t)
             task_url = task_url.replace('#','%23')
@@ -381,6 +380,11 @@ class SOCKET(datasets.GeneratorBasedBuilder):
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={"text_path": data_dir["val_text"], "labels_path": data_dir["val_labels"]},
             ),
+            datasets.SplitGenerator(
+                name=datasets.NamedSplit('sockette'),
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={"text_path": data_dir["sockette_text"], "labels_path": data_dir["sockette_labels"]},
+            ),
         ]
 
     def _generate_examples(self, text_path, labels_path):