| import pandas as pd | |
| from datasets import load_dataset | |
| for _type in ['nell', 'nell_filter']: | |
| data = load_dataset("fewshot_link_prediction", _type, split='test') | |
| df = data.to_pandas() | |
| print(f"\nEntity Types ({_type})") | |
| tail = df.groupby("tail_type")['relation'].count().to_dict() | |
| head = df.groupby("head_type")['relation'].count().to_dict() | |
| k = set(list(tail.keys()) + list(head.keys())) | |
| df_types = pd.DataFrame([{"entity_type": _k, "tail": tail[_k] if _k in tail else 0, "head": head[_k] if _k in head else 0} for _k in k]) | |
| print(df_types.to_markdown(index=False)) | |
| print(f"\nRelation Types ({_type})") | |
| print(df.groupby("relation")['relation'].count().to_markdown()) | |