| import pandas as pd |
| from datasets import load_dataset |
|
|
|
|
| def get_stats(): |
| relation = [] |
| size = [] |
| data = load_dataset("relbert/conceptnet") |
| splits = data.keys() |
| for split in splits: |
| df = data[split].to_pandas() |
| size.append({ |
| "number of pairs": len(df), |
| "number of unique relation types": len(df["relation"].unique()) |
| }) |
| relation.append(df.groupby('relation')['head'].count().to_dict()) |
| relation = pd.DataFrame(relation, index=[f"number of pairs ({s})" for s in splits]).T |
| relation = relation.fillna(0).astype(int) |
| size = pd.DataFrame(size, index=splits).T |
| return relation, size |
|
|
| df_relation, df_size = get_stats() |
| print(f"\n- Number of instances\n\n {df_size.to_markdown()}") |
| print(f"\n- Number of pairs in each relation type\n\n {df_relation.to_markdown()}") |
|
|
|
|
