docs(analytics): tag Hugging Face referral links

README.md

@@ -33,7 +33,7 @@ dataset_info:
 
 # Rapidata Animals-10
 
-We took this existing Animals-10 dataset from [kaggle](https://www.kaggle.com/datasets/alessiocorrado99/animals10) and cleaned it using Rapidata's crowd, as detailed in this [blog post](https://rapidata.ai/blog/animal-classification).
+We took this existing Animals-10 dataset from [kaggle](https://www.kaggle.com/datasets/alessiocorrado99/animals10) and cleaned it using Rapidata's crowd, as detailed in this [blog post](https://rapidata.ai/guides/animal-classification?utm_source=huggingface&utm_medium=referral&utm_campaign=animals_10&utm_content=dataset_card).
 
 If you get value from this dataset and would like to see more in the future, please consider liking it.
 
@@ -45,12 +45,12 @@ If you get value from this dataset and would like to see more in the future, ple
 In total, 124k labels were collected by human annotators, so each image is cross-validated on average by 5 independent annotators.
 
 - **Curated by:** @canwiper
-- **Funded by:** [Rapidata](https://rapidata.ai)
+- **Funded by:** [Rapidata](https://rapidata.ai/?utm_source=huggingface&utm_medium=referral&utm_campaign=animals_10&utm_content=dataset_card)
 - **License:** gpl-2.0
 
 ### Dataset Sources
 
-[Blog post](https://rapidata.ai/blog/animal-classification) describing the setup and results of cleaning the original dataset.
+[Blog post](https://rapidata.ai/guides/animal-classification?utm_source=huggingface&utm_medium=referral&utm_campaign=animals_10&utm_content=dataset_card) describing the setup and results of cleaning the original dataset.
 
 ## Dataset Structure