code changes

BESSTIE.py

@@ -38,9 +38,9 @@ class BESSTIEConfig(datasets.GeneratorBasedBuilder):
             description=_DESCRIPTION,
             features=datasets.Features(
                 {
-                    "id": datasets.Value("string"),
+                    "id": datasets.Value("int32"),
                     "text": datasets.Value("string"),
-                    "sentiment_label": datasets.Value("string"),
+                    "sentiment_label": datasets.Value("int32"),
                 }
             ),
             supervised_keys=None,
@@ -48,7 +48,7 @@ class BESSTIEConfig(datasets.GeneratorBasedBuilder):
             citation=_CITATION,
         )
 
-    _URL = "https://huggingface.co/datasets/surrey-nlp/BESSTIE-google-sentiment-au/tree/main/data/"
+    _URL = "https://huggingface.co/datasets/surrey-nlp/BESSTIE-google-sentiment-au/blob/main/data/"
     _URLS = {
         "train": _URL + "google-sentiment-au-train.jsonl",
         "dev": _URL + "google-sentiment-au-valid.jsonl",
@@ -69,11 +69,11 @@ class BESSTIEConfig(datasets.GeneratorBasedBuilder):
         """This function returns the examples in the raw (text) form."""
         logger.info("generating examples from = %s", filepath)
         with open(filepath) as f:
-            plod = json.load(f)
-            for object in plod:
+            for line in f:
+                object = json.loads(line.strip())
                 id_ = int(object['id'])
                 yield id_, {
-                    "id": str(id_),
+                    "id": id_,
                     "text": object['text'],
-                    "sentiment_label": object['sentiment_label'],
+                    "sentiment_label": int(object['sentiment_label']),
                 }