| import os | |
| import pandas as pd | |
| import requests | |
| def load_smithsonian_df( | |
| download_dir: str = "~/.objaverse_xl", | |
| ) -> pd.DataFrame: | |
| """Loads the Smithsonian Object Metadata dataset as a Pandas DataFrame. | |
| Args: | |
| download_dir (str, optional): Directory to download the parquet metadata file. | |
| Defaults to "~/.objaverse_xl". | |
| Returns: | |
| pd.DataFrame: Smithsonian Object Metadata dataset as a Pandas DataFrame with | |
| columns for the object "title", "url", "quality", and "file_type". | |
| The quality is always Medium and the file_type is always glb. | |
| """ | |
| dirname = os.path.expanduser(os.path.join(download_dir, "smithsonian")) | |
| os.makedirs(dirname, exist_ok=True) | |
| filename = os.path.join(dirname, "object-metadata.parquet") | |
| url = "https://huggingface.co/datasets/allenai/objaverse-xl/resolve/main/smithsonian/object-metadata.parquet" | |
| response = requests.get(url) | |
| response.raise_for_status() | |
| with open(filename, "wb") as file: | |
| file.write(response.content) | |
| return pd.read_parquet(filename) | |