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@@ -39,13 +39,13 @@ Curated from real-world trends in species misidentification among community anno
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  We created four new benchmark datasets for fine-grained image classification of cryptic species.
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  ### CrypticBio-Commom
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- 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.
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  ### CrypticBio-CommonUnseen
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  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.
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  ### CrypticBio-Endagered
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- 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.
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  ### CrypticBio-Invasive
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  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.
 
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  We created four new benchmark datasets for fine-grained image classification of cryptic species.
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  ### CrypticBio-Commom
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+ We curate a common species from Arachnida, Aves, Insecta, Plantae, Fungi, Mollusca, and Reptilia and associated cryptic group, 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.
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  ### CrypticBio-CommonUnseen
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  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.
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  ### CrypticBio-Endagered
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+ We propose a cryptic species subset of endangered species according to global IUCN Red List. We randomly select 30 samples from Arachnida, Aves, Insecta, Plantae, Fungi, Mollusca, and Reptilia and associated cryptic groups spanning n=37 species, filtering out taxa where there are less than 150 observation.
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  ### CrypticBio-Invasive
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  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.