from huggingface_hub import HfApi
import os

# Define the repository name
repo_name = "Tetratics/2018-11-08-OpenPsychometrics-IPIP-FFM"

# Initialize the Hugging Face API
api = HfApi()

# Create the repository on Hugging Face
api.create_repo(repo_id=repo_name, repo_type="dataset")

# Upload each Parquet file to the repository
for split_name in ["train", "validation", "test"]:
    file_path = f"{parquet_dir}/{split_name}.parquet"
    if os.path.exists(file_path):
        api.upload_file(
            path_or_fileobj=file_path,
            path_in_repo=f"{split_name}.parquet",
            repo_id=repo_name,
            repo_type="dataset"
        )
        print(f"Uploaded {split_name}.parquet to {repo_name}")
    else:
        print(f"{split_name}.parquet not found. Skipping upload.")