from huggingface_hub import create_repo, upload_folder
from datasets import load_dataset
from pprint import pprint

print("\n📤 Uploading to Hugging Face Hub...")
repo_id = "Silviase/augeobench"
create_repo(repo_id, repo_type="dataset", exist_ok=True)

upload_folder(
    repo_id=repo_id,
    repo_type="dataset",
    folder_path="augeobench",
    commit_message="upload data and script"
)

print("\n✅ Dataset uploaded successfully!")
print(f"dataset = load_dataset('{repo_id}', trust_remote_code=True, split='train')")

# Verify the dataset loads correctly from the hub
print("\n🔍 Verifying dataset from Hugging Face Hub...")
dataset = load_dataset(repo_id, trust_remote_code=True, split="train", cache_dir=None, download_mode='force_redownload')
print("🌸 Length of the dataset:", len(dataset))
print("📦 Sample from the loaded dataset:\n")
pprint(dataset[0])