Update README.md

README.md

@@ -195,9 +195,9 @@ dataset.
 KBP37 contains 18 directional relations and an additional '`no_relation`' relation, resulting in 37 relation classes.
 
 Note: 
-- There is a formatted version that you can load with `datasets.load_dataset('kbp37', name='kbp37_formatted')`. This version is tokenized with spaCy and
-  provides entity offsets. It discards some examples, however, that are invalid in the original dataset and lead to entity offset errors, e.g. train/1276.
-  - train: 15807, validation: 1714, test: 3379
+- There is a formatted version that you can load with `datasets.load_dataset('kbp37', name='kbp37_formatted')`. This version is tokenized with `str.split()` and
+  provides entities as offsets instead of being enclosed by xml tags. It discards some examples, however, that are invalid in the original dataset and lead
+  to entity offset errors, e.g. example train/1276.
 
 
 ### Supported Tasks and Leaderboards
@@ -253,7 +253,7 @@ An example of 'train' looks as follows:
 
 #### kbp37_formatted
 - `id`: the instance id of this sentence, a `string` feature.
-- `token`: the list of tokens of this sentence, obtained with spaCy, a `list` of `string` features.
+- `token`: the list of tokens of this sentence, using `str.split()`, a `list` of `string` features.
 - `subj_start`: the 0-based index of the start token of the relation subject mention, an `int` feature.
 - `subj_end`: the 0-based index of the end token of the relation subject mention, exclusive, an `int` feature.
 - `obj_start`: the 0-based index of the start token of the relation object mention, an `int` feature.
@@ -262,10 +262,18 @@ An example of 'train' looks as follows:
 
 ### Data Splits
 
+#### kbp37
+
 |       | Train | Dev  | Test |
 |-------|-------|------|------|
 | KBP37 | 15917 | 1724 | 3405 |
 
+#### kbp37_formatted
+
+|       | Train | Dev  | Test |
+|-------|-------|------|------|
+| KBP37 | 15807 | 1714 | 3379 |
+
 ## Dataset Creation
 
 ### Curation Rationale