| from __future__ import annotations | |
| import os | |
| from datasets import load_dataset | |
| from huggingface_hub import create_repo, upload_file | |
| repo_name = "amazon_polarity" | |
| create_repo(repo_name, organization="mteb", repo_type="dataset") | |
| id2label = {0: "negative", 1: "positive"} | |
| raw_dset = load_dataset("amazon_polarity") | |
| raw_dset = raw_dset.map( | |
| lambda x: {"text": x["title"] + "\n\n" + x["content"]}, num_proc=4 | |
| ) | |
| raw_dset = raw_dset.map(lambda x: {"label_text": id2label[x["label"]]}, num_proc=4) | |
| raw_dset = raw_dset.remove_columns(["title", "content"]) | |
| for split, dset in raw_dset.items(): | |
| save_path = f"{split}.jsonl" | |
| dset.to_json(save_path) | |
| upload_file( | |
| path_or_fileobj=save_path, | |
| path_in_repo=save_path, | |
| repo_id="mteb/" + repo_name, | |
| repo_type="dataset", | |
| ) | |
| os.system(f"rm {save_path}") | |