add reddit_tifu

fs.py

@@ -5,6 +5,7 @@
 import json
 import os
 from abc import abstractmethod
+from typing import Union, NoReturn
 
 import datasets
 
@@ -43,7 +44,7 @@ class FewsionConfig(datasets.BuilderConfig):
 
     @property
     @abstractmethod
-    def question_column_name(self) -> str:
+    def question_column_name(self) -> Union[str, NoReturn]:
         pass
 
     @property
@@ -63,14 +64,33 @@ class ArxivConfig(FewsionConfig):
         return "abstract"
 
     @property
-    def question_column_name(self) -> str:
-        pass
+    def question_column_name(self) -> Union[str, NoReturn]:
+        return
 
     @property
     def id_column_name(self) -> str:
         return "article_id"
 
 
+class RedditTIFUConfig(FewsionConfig):
+
+    @property
+    def source_column_name(self) -> str:
+        return "document"
+
+    @property
+    def target_column_name(self) -> str:
+        return "tdlr"
+
+    @property
+    def question_column_name(self) -> Union[str, NoReturn]:
+        return
+
+    @property
+    def id_column_name(self) -> str:
+        return "id"
+
+
 class Fewsion(datasets.GeneratorBasedBuilder):
 
     DEFAULT_WRITER_BATCH_SIZE = 1000  # because Narrative QA is a rather large dataset
@@ -78,6 +98,10 @@ class Fewsion(datasets.GeneratorBasedBuilder):
         ArxivConfig(
             name="arxiv",
             data_url="https://fewsion.s3.us-east-2.amazonaws.com/arxiv.zip",
+        ),
+        RedditTIFUConfig(
+            name="reddit_tifu",
+            data_url="https://fewsion.s3.us-east-2.amazonaws.com/reddit_tifu.zip",
         )
     ]