Update climate-evaluation.py

climate-evaluation.py

@@ -203,7 +203,7 @@ class ClimateEvaluation(datasets.GeneratorBasedBuilder):
                 """\
                 The Exeter Climate Claims dataset contains textual data from 33 influential climate contrarian blogs and the climate-change-related content from 20 conservative think tanks spanning the years 1998 to 2020. Annotation of the dataset was done manually using a thorough three-layer taxonomy of (climate-change related) contrarian claims, which was developed by the authors. We utilize this dataset specifically for the binary classification task of discerning whether a given text contains a contrarian claim pertaining to climate change or not.  """
             ),
-            data_dir="exeter/",
+            data_dir="exeter",
             text_features={"text": "text"},
             label_classes=["0", "1"],
             label_column="label",
@@ -268,7 +268,7 @@ class ClimateEvaluation(datasets.GeneratorBasedBuilder):
                 EXAMS is a multiple choice question answering collected from high school examinations. To evaluate ClimateGPT on the cascaded machine translation approach, we evaluate on the Arabic subset of this dataset. The Arabic subset covers questions from biology, physics, science, social science and Islamic studies. Note, this dataset is in arabic.  
                 """
             ),
-            data_dir="exams/",
+            data_dir="exams",
             text_features={"subject": "subject", "question_stem": "question_stem", "choices": "choices"},
             label_classes=["A", "B", "C", "D"],
             label_column="answerKey",