| 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}") | |