update create script

create_dataset.py

@@ -1,8 +1,19 @@
 from datasets import DatasetDict, load_dataset
-
+import csv
+import json
 
 def main():
     label2id = {"positive": 2, "neutral": 1, "negative": 0}
+
+    for split in ["train", "test"]:
+        input_file = csv.DictReader(open(f"raw_data/{split}_csv"))
+
+        with open(f'{split}.jsonl', 'w') as fOut:
+            for row in input_file:
+                fOut.write(json.dumps({'textID': row['textID'], 'text': row['text'], 'label': label2id[row['sentiment']], 'label_text': row['sentiment']})+"\n")
+               
+
+    """
     train_dset = load_dataset("csv", data_files="raw_data/train_csv", split="train")
     train_dset = train_dset.remove_columns(["selected_text"])
     test_dset = load_dataset("csv", data_files="raw_data/train_csv", split="train")
@@ -14,7 +25,7 @@ def main():
         dset = dset.rename_column("sentiment", "label_text")
         dset = dset.map(lambda x: {"label": label2id[x["label_text"]]}, num_proc=8)
         dset.to_json(f"{split}.jsonl")
-
+    """
 
 if __name__ == "__main__":
     main()

test.jsonl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:088f0450a3f18fbd3768548b666cbf0e00b0e71a835f88dc4f6408156d1e7710
-size 5277301
+oid sha256:da4fd3fdf9f0cd04198588f748bb854af2bf2a2a59e7126e281ebdba6f81b175
+size 503351

train.jsonl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:750bbef4e42ca44a0a6fef4625748f75014d15e128fb6b18752d34f64a4681bc
-size 3743264
+oid sha256:d43dee14f2ed23d635338ac401d2b5e00371eaa18e26eb246375cfc886800e11
+size 3931114