Remove index col

clean_data.py

@@ -56,5 +56,5 @@ print(f"Final cleaned dataset val rows {num_rows}")
 # SAVE TO DISK
 fi_train_cleaned = fi_train_cleaned.remove_columns(["alphabet_len", "number_len", "upper_len", "total_len", "predicted_lang", "predicted_lang_percentage", "alphabet_ratio", "number_ratio", "upper_ratio"])
 fi_val_cleaned = fi_val_cleaned.remove_columns(["alphabet_len", "number_len", "upper_len", "total_len", "predicted_lang", "predicted_lang_percentage", "alphabet_ratio", "number_ratio", "upper_ratio"])
-fi_train_cleaned.to_csv("train.csv", num_proc=64)
-fi_val_cleaned.to_csv("valid.csv", num_proc=64)
+fi_train_cleaned.to_csv("train.csv", num_proc=64, index=False)
+fi_val_cleaned.to_csv("valid.csv", num_proc=64, index=False)

train.csv

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0fe3af1835a6120af364f2b8a9ad6526e5d27cb0dd0ad8ef73095f33f26762b6
-size 64653060288
+oid sha256:f924719e8adb72b8d69cb20a91c3481958efb3bce978d47ec115c42c78ce7d15
+size 64564250147

valid.csv → validation.csv

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:43093465ebea72484795cdd86d226390a97479e5a98f1a1aaa63dfee75b438ac
-size 64018640
+oid sha256:59f60f38dec64cb813103f43e64d7aab1736a27ea79693438730ff3e78c30472
+size 63930699