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from datasets import load_dataset
import json
import os
from huggingface_hub import create_repo, upload_file
dataset = load_dataset("banking77")
id2label = dataset['train'].features['label'].names
repo_name = "banking77"
create_repo(repo_name, organization="mteb", repo_type="dataset")
for split in ['train', 'test']:
savepath = f'{os.path.dirname(__file__)}/{split}.jsonl'
with open(savepath, 'w') as fOut:
rows = list(dataset[split])
if split == 'test' and 'validation' in dataset:
rows += list(dataset['validation'])
for id, row in rows:
fOut.write(json.dumps({'text': row['text'], 'label': row['label'], 'label_text': id2label[row['label']]})+"\n")
upload_file(savepath, path_in_repo=f"{split}.jsonl", repo_id="mteb/" + repo_name, repo_type="dataset")
os.system(f"rm {savepath}")
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