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Create create_data.py
d604517
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()