Create create_data.py

create_data.py

@@ -0,0 +1,30 @@
+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({'id': 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")
+    raw_dset = DatasetDict()
+    raw_dset["train"] = train_dset
+    raw_dset["test"] = test_dset
+    for split, dset in raw_dset.items():
+        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()