Update README.md

README.md

@@ -39,16 +39,16 @@ Rich research-graded metadata annotations extending scientific, multicultural, a
 We created four new benchmark datasets for fine-grained image classification. 
 
 ### CrypticBio-Commom
-We curate a cryptic species subset of a common species from Arachnida, Aves, Insecta, Plantae, Fungi, Mollusca, and Reptilia. We randomly select 100 samples from each species in a cryptic group where there are more than 150 observation per species.
+We curate a cryptic species subset of a common species from Arachnida, Aves, Insecta, Plantae, Fungi, Mollusca, and Reptilia, spanning n=158 species. We randomly select 100 samples from each species in a cryptic group where there are more than 150 observation per species.
 
 ### CrypticBio-CommonUnseen
-To assess zero-shot performance on common species from CrypticBio-Common not encountered during training of state-of-the-art models, we specifically curate a subset spanning data from 01-09-2024 to 01-04-2025.  We randomly select 100 samples from each species in a cryptic group where there are more than 150 observation per species.
+To assess zero-shot performance on common species from CrypticBio-Common not encountered during training of state-of-the-art models, we specifically curate a subset spanning data from 01-09-2024 to 01-04-2025.  We randomly select 100 samples from each species in a cryptic group where there are more than 150 observation per species, spanning n=133 species.
 
 ### CrypticBio-Endagered
-We propose a cryptic species subset of endangered species according to global IUCN Red List. We randomly select 30 samples from Arachnida, Fungi, Insecta, Mollusca, and Reptilia taxa and corresponding cryptic group, filtering out taxa where there are less than 150 observation.
+We propose a cryptic species subset of endangered species according to global IUCN Red List. We randomly select 30 samples from Arachnida, Fungi, Insecta, Mollusca, and Reptilia taxa and corresponding cryptic group spanning n=37 species, filtering out taxa where there are less than 150 observation.
 
 ### CrypticBio-Invasive
-We also propose a cryptic species subset of invasive alien species (IAS) according to global the Global Invasive Species Database (GISD). IAS are a significant concern for biodiversity as their records appear to be exponentially rising across the Earth. Thus, identifying invasive species in cryptic groups is essential in biodiversity. We randomly select 100 samples from each invasive species cryptic group, filtering out taxa where there are less than 150 observation. 
+We also propose a cryptic species subset of invasive alien species (IAS) according to global the Global Invasive Species Database (GISD). IAS are a significant concern for biodiversity as their records appear to be exponentially rising across the Earth. We randomly select 100 samples from each invasive species cryptic group spanning n=72 species, filtering out taxa where there are less than 150 observation. 
 
 ## Dataset Information