Update README.md

README.md

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 license: apache-2.0
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-Hierarchy Transformers (HiTs) are capable of interpreting and encoding hierarchies explicitly. 
+The Hierarchy Transformer (HiT) framework aims to provide universal hierarchy embedding in hyperbolic space with transformer encoder-based language models. 
 
-The relevant code in [HierarchyTransformers](https://github.com/KRR-Oxford/HierarchyTransformers) extends from [Sentence-Transformers](https://huggingface.co/sentence-transformers).
+This huggingface page serves as the model and dataset (also available on [Zenodo](https://zenodo.org/doi/10.5281/zenodo.10511042)) repository. The code repository is available on GitHub: [HierarchyTransformers](https://github.com/KRR-Oxford/HierarchyTransformers)
 
 ## Get Started
 
@@ -31,14 +31,6 @@ entity_names = ["computer", "personal computer", "fruit", "berry"]
 entity_embeddings = model.encode(entity_names)
 ```
 
-## Models
-
-See available HiT models under this organisation.
-
-## Datasets
-
-The datasets for training and evaluating HiTs are available at [Zenodo](https://zenodo.org/doi/10.5281/zenodo.10511042).
-
 
 ## Citation