Update README.md

README.md

@@ -37,26 +37,12 @@ The number of triples in each split is summarized in the table below.
 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)).
+Finally, we remove triples that contain enties that has frequency less than 5 (`frequnecy`).
 
-| Dataset   | `raw`      | `named-entity filter`  | `rare-predicate` | `unify-denoise-predicate` |
-|:----------|-----------:|-----------------------:|-----------------:|--------------------------:|
-| Triples   | 20,877,472 | 12,561,573             | 12,561,250       | 432,781 |
-| Predicate | 1,616      | 1,470                  | 1,237            | 246   |
-
-### 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.
-We first remove triples that contain either of subject or object with the occurrence in the dataset that is lower than `min entity`.
-Then, we reduce the number triples in each predicate to be less than `max predicate`. 
-If the number of triples in a predicate is higher than `max predicate`, 
-we choose top-`max predicate` triples based on the frequency of the subject and the object, or random sampling.
-
-- distribution of entities
-
-<img src="https://huggingface.co/datasets/relbert/t_rex/resolve/main/data/stats.entity_distribution.png" alt="" width="600" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
-
-- distribution of predicates
-
-<img src="https://huggingface.co/datasets/relbert/t_rex/resolve/main/data/stats.predicate_distribution.png" alt="" width="600" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
+| Dataset   | `raw`      | `named-entity filter`  | `rare-predicate` | `unify-denoise-predicate` | `frequnecy` |
+|:----------|-----------:|-----------------------:|-----------------:|--------------------------:|------------:|
+| Triples   | 20,877,472 | 12,561,573             | 12,561,250       | 432,781                   | 48,768      |
+| Predicate | 1,616      | 1,470                  | 1,237            | 246                       | 246         |
 
 
 ## Dataset Structure