Update README.md

README.md

@@ -269,14 +269,14 @@ The number of triples in each split is summarized in the table below.
 
 
 ### Filtering to Remove Noise
-We apply filtering to keep triples with alpha-numeric subject and object, as well as triples with at least either of subject or object is a named-entity.
+We apply filtering to keep triples with named-entities in either of head or tail (`named-entity filter`).
+Then, we remove predicates if they have less than three triples (`rare-predicate filter`).
 After the filtering, we manually remove too vague and noisy predicate, and unify same predicates with different names (see the annotation [here](https://huggingface.co/datasets/relbert/t_rex/raw/main/predicate_manual_check.csv)).
 
-| Dataset   | `raw`     | `filter`  | `filter_unified` |
-|:----------|----------:|----------:|-----------------:|
-| Triples   | 941,663   | 583,333   | 432,795          |
-| Predicate | 931       | 659       | 247              |
-| Entity    | 270,801   | 197,163   | 149,172          |
+| Dataset   | `raw`      | `named-entity filter`  | `rare-predicate` |
+|:----------|-----------:|-----------------------:|-----------------:|
+| Triples   | 20,877,472 | 12,561,573             | 12,561,250       |
+| Predicate | 1,616      | 1,470                  | 1,237            |
 
 ### Filtering to Purify the Dataset
 We reduce the size of the dataset by applying filtering based on the number of predicates and entities in the triples.