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@@ -21,12 +21,16 @@ See the data viewer for all information. Most of the metadata on each protein an
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  - `accession`: the Uniprot Accession Number that identifies each protein uniquely
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  - `embedding`: 128 dimensional vectors computed from the [ProteinCLIP](https://github.com/wukevin/proteinclip) models (first from ESM 6 layer model last layer).
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- ## Example Usecase 1
 
 
 
 
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  Upload all the embeddings to Nomic Atlas to create https://atlas.nomic.ai/data/donnybertucci/lackadaisical-goodfellow/map
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  <video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/6260e4e99c4c9dc0ed60e8ca/xyugJj612OtpsixQy2oio.qt"></video>
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- ## Example Usecase 2
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  Similarity search with cosine similarity https://github.com/xnought/DS569k-viewer.
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  - `accession`: the Uniprot Accession Number that identifies each protein uniquely
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  - `embedding`: 128 dimensional vectors computed from the [ProteinCLIP](https://github.com/wukevin/proteinclip) models (first from ESM 6 layer model last layer).
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+ ## Examples
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+
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+ Yeah this dataset is easy to use! See some quick examples!
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+
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+ ### Example 1
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  Upload all the embeddings to Nomic Atlas to create https://atlas.nomic.ai/data/donnybertucci/lackadaisical-goodfellow/map
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  <video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/6260e4e99c4c9dc0ed60e8ca/xyugJj612OtpsixQy2oio.qt"></video>
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+ ### Example 2
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  Similarity search with cosine similarity https://github.com/xnought/DS569k-viewer.
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