Update README.md

README.md

@@ -73,15 +73,13 @@ To encourage development of better machine learning methods for operating with d
 ## Splits
 - Training Set:
   - Full Training Set: 1,755,602 observations, 3,307,025 images
-  - Labeled Training Sets:
+  - Labeled Training Set:
     - 20%: 334,383 observations, 390,908 images
     - 5%: 93,708 observations, 97,727 images
     - 1%: 19,371 observations, 19,545 images
     - 0.25%: 4,878 observations, 4,886 images
-- Validation Set:
-  - 150,555 observations, 279,114 images
-- Test Set:
-  - 182,618 observations, 334,887 images
+- Validation Set: 150,555 observations, 279,114 images
+- Test Set: 182,618 observations, 334,887 images
 
 ## Acquisition
 - Ground-Level Images:
@@ -103,7 +101,7 @@ To encourage development of better machine learning methods for operating with d
 - observation_uuid (string): Unique identifier for each observation in the dataset.
 - latitude (float32): Latitude coordinate of the observation.
 - longitude (float32): Longitude coordinate of the observation.
-- positional_accuracy (int64): Accuracy of the geographical position, measured in meters.
+- positional_accuracy (int64): Accuracy of the geographical position.
 - taxon_id (int64): Identifier for the taxonomic classification of the observed species.
 - quality_grade (string): Quality grade of the observation, indicating its verification status (e.g., research-grade, needs ID).
 - gl_image_date (string): Date when the ground-level image was taken.