Update README.md

README.md

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 # Processed datasets for CLIBD
 
-In this data repo we provide the pre-processed data used in the paper **CLIBD: Bridging Vision and Genomics for Biodiversity Monitoring at Scale**
+In this data repo we provide the pre-processed data used in the paper **[CLIBD: Bridging Vision and Genomics for Biodiversity Monitoring at Scale](https://arxiv.org/abs/2405.17537)**
 You can find more information in our [github repo](https://github.com/bioscan-ml/clibd/tree/main).
 
 
 ### Dataset Sources
-The data we used to train and test our models include [BIOSCAN-1M](https://github.com/bioscan-ml/BIOSCAN-1M) and [BIOSCAN-5M](https://github.com/bioscan-ml/BIOSCAN-5M). In addition, to perform Bayesian Zero Shot Learning, we also employed the INSECT dataset that was introduced in [Fine-grained ZSL with DNA as Side Information](https://github.com/sbadirli/Fine-Grained-ZSL-with-DNA).
+The data we used to train and test our models include [BIOSCAN-1M](https://huggingface.co/datasets/bioscan-ml/BIOSCAN-1M) and [BIOSCAN-5M](https://huggingface.co/datasets/bioscan-ml/BIOSCAN-1M). In addition, to perform Bayesian Zero Shot Learning, we also employed the INSECT dataset that was introduced in [Fine-grained ZSL with DNA as Side Information](https://github.com/sbadirli/Fine-Grained-ZSL-with-DNA).
 
 ### Download the datasets
 To clone the repo:
@@ -32,6 +32,8 @@ git lfs pull --include="data/INSECT/**"
 
 ## Acknowledgement
 
-We would like to express our gratitude for the use of the INSECT dataset, which played a pivotal role in the completion of our experiments. Additionally, we acknowledge the use and modification of code from the Fine-Grained-ZSL-with-DNA repository, which facilitated part of our experimental work. The contributions of these resources have been invaluable to our project, and we appreciate the efforts of all developers and researchers involved.
+We would like to express our gratitude for the use of the [INSECT](https://indiana-my.sharepoint.com/personal/sbadirli_iu_edu/_layouts/15/onedrive.aspx?id=%2Fpersonal%2Fsbadirli%5Fiu%5Fedu%2FDocuments%2FDesktop%2FInsect%20ZSL%20Project%2FNIPS%20Insect%20Data&ga=1) dataset, which played a pivotal role in the completion of our experiments. Additionally, we acknowledge the use and modification of code from the [Fine-Grained-ZSL-with-DNA repository](https://github.com/sbadirli/Fine-Grained-ZSL-with-DNA), which facilitated part of our experimental work. The contributions of these resources have been invaluable to our project, and we appreciate the efforts of all developers and researchers involved.
 
-This reseach was supported by the Government of Canada’s New Frontiers in Research Fund (NFRF) [NFRFT-2020-00073], Canada CIFAR AI Chair grants, and the Pioneer Centre for AI (DNRF grant number P1). This research was also enabled in part by support provided by the Digital Research Alliance of Canada (alliancecan.ca).
+This reseach was supported by the Government of Canada’s New Frontiers in Research Fund (NFRF) [NFRFT-2020-00073], Canada CIFAR AI Chair grants, and the Pioneer Centre for AI (DNRF grant number P1). This research was also enabled in part by support provided by the Digital Research Alliance of Canada (alliancecan.ca).
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+For more information, please check our [paper](https://arxiv.org/abs/2405.17537).