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README.md

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 **See the [CrypticBio](https://huggingface.co/gmanolache/CrypticBio) dataset card**
 
-[CrypticBio](https://georgianagmanolache.github.io/crypticbio/) comprises metadata including species scientific and multicultural vernacular terminology, image URL, taxonomic hierarchy, spatiotemporal context, and corresponding visually confusing species group. 
+[CrypticBio](https://georgianagmanolache.github.io/crypticbio/) comprises metadata including species scientific and multicultural vernacular terminology, image URL, taxonomic hierarchy, spatiotemporal context, and corresponding visually confusing species group. Visually confusing or cryptic species are groups of two or more taxa that are nearly indistinguishable based on visual characteristics alone. 
 
 ## CrypticBio Dataset
+We present CrypticBio, the largest publicly available multimodal dataset of visually confusing species groups, specifically curated to support the development of AI models in the context of biodiversity identification applications.
+Visually confusing or cryptic species are groups of two or more taxa that are nearly indistinguishable based on visual characteristics alone. Curated from real-world trends in species misidentification among community annotators of iNaturalist, CrypticBio contains 66K cryptic species groups spanning 64K species, represented in 170 million annotated images. 
+Rich research-graded metadata annotations extending scientific, multicultural, and multilingual species terminology, hierarchical taxonomy, spatiotemporal context, and cryptic group species, further challenge the multimodal AI biodiversity research.
 
 ## New Benchmark Datasets
 We created three new benchmark datasets for fine-grained image classification. In addition, we provide a new benchmark dataset for species recognition across various developmental Life-stages.