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README.md

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-license: mit
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+---
+license: mit
+---
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+# WordNet Semantic Primes
+
+## Dataset Overview
+
+We propose a dataset at the core of our semantic towers methodology which combines vectorized knowledge graph information to augment a Retrieval-and-Generation (RAG) pipeline.
+
+## Dataset Construction
+
+The dataset is constructed by deriving and building the semantic tower - an ensemble of primitive semantic information related to a term - of 4 term types (noun, verb, adverb, adjective). These term typed are derived from a data dump from the original [WordNet](https://wordnet.princeton.edu/) dataset.
+
+The semantic tower encompasses information gathered from Wikidata, specifically:
+
+- label
+- instance of
+- subclass of
+- part of
+- represents
+- description
+
+This information forms the smallest subset of knowledge needed to distinguish a term from another.
+
+## Embeddings Generation
+
+The vector embeddings are generated using the [General Text Embeddings (GTE)](https://huggingface.co/thenlper/gte-large) large model.