dataloader

tweet_eval_stance.py

@@ -3,9 +3,10 @@ import os
 import datasets
 
 _DESCRIPTION = "Tweet eval stance subset"
+_SUBSETS = ["stance_abortion", "stance_atheism", "stance_climate", "stance_feminist", "stance_hillary"]
 
 URL = "" #https://huggingface.co/datasets/SetFit/tweet_eval_stance/resolve/main/"
-_URLs = {split: {"train": URL + f"{split}/train.jsonl", "test": URL + f"{split}/test.jsonl"} for split in ["stance_abortion", "stance_atheism", "stance_climate", "stance_feminist", "stance_hillary"]}
+_URLs = {split: {"train": URL + f"{split}/train.jsonl", "test": URL + f"{split}/test.jsonl"} for split in _SUBSETS}
 
 
 
@@ -16,7 +17,7 @@ class TweetEval(datasets.GeneratorBasedBuilder):
         datasets.BuilderConfig(
             name=name,
             description=f"This part of my dataset covers {name} part of TweetEval Dataset.",
-        ) for name in ["stance_abortion", "stance_atheism"]
+        ) for name in _SUBSETS
     ]
 
     def _info(self):
@@ -27,7 +28,7 @@ class TweetEval(datasets.GeneratorBasedBuilder):
             features=datasets.Features(
                 {
                 "text": datasets.Value("string"), 
-                "label": datasets.features.ClassLabel(names=names),
+                "label": datasets.Value("int"),
                 "label_text": datasets.Value("string"), 
                 }
             ),