fix readme

README.md

@@ -22,9 +22,10 @@ Please see [NELL paper](https://www.cs.cmu.edu/~tom/pubs/NELL_aaai15.pdf) to kno
 
 - Number of instances
 
- |                 |   train |   validation |   test |
-|:----------------|--------:|-------------:|-------:|
-| number of pairs |    5498 |          878 |   1352 |
+ |                                 |   train |   validation |   test |                                                                                        
+|:--------------------------------|--------:|-------------:|-------:|                                                                                         
+| number of pairs                 |    5498 |          878 |   1352 |                                                                                         
+| number of unique relation types |      32 |            4 |      6 |   
 
 - Number of pairs in each relation type
 

stats.py

@@ -7,19 +7,22 @@ from datasets import load_dataset
 def get_stats():
     relation = []
     entity = []
-    size = {}
+    size = []
     data = load_dataset("relbert/nell")
     splits = data.keys()
     for split in splits:
         df = data[split].to_pandas()
-        size[split] = len(df)
+        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())
         entity += [df.groupby('head_type')['head'].count().to_dict(), df.groupby('tail_type')['tail'].count().to_dict()]
     relation = pd.DataFrame(relation, index=[f"number of pairs ({s})" for s in splits]).T
     relation = relation.fillna(0).astype(int)
     entity = pd.DataFrame(entity, index=list(chain(*[[f"head ({s})", f"tail ({s})"] for s in splits]))).T
     entity = entity.fillna(0).astype(int)
-    size = pd.DataFrame([size], index=["number of pairs"])
+    size = pd.DataFrame(size, index=splits).T
     return relation, entity, size
 
 df_relation, df_entity, df_size = get_stats()