init

experiments/model_predict_classifier.py

@@ -163,7 +163,7 @@ class EmojiClassification(Classifier):
 
     def __init__(self, model_name: str):
         self.dataset = load_dataset("tweettemposhift/tweet_temporal_shift", "hate_temporal")
-        id_to_label = dict(enumerate(self.dataset["test"].features["gold_label"].names))
+        id_to_label = {str(k): v for k, v in enumerate(self.dataset["test"].features["gold_label"].names)}
         super().__init__(model_name, max_length=128, multi_label=False, id_to_label=id_to_label)
 
     def get_prediction(self, export_dir: str, batch_size: int):