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README.md

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# class-similarity
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The code to calculate similarity of different dataset base on dataset labels using cosine similarity and GloVe embedding.
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# Class-similarity
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This repo offers the code to calculate similarity of different dataset based on dataset labels using cosine similarity and GloVe embedding.
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*cosine_similarity.py* provides the function to calculate the cosine similarity between two GloVe vector.
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*cosine_similarity.py* provides the function to calculate the cosine similarity between two GloVe vector.
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*embedding.py* converts labels of dataset to GloVe vectors.
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*embedding.py* converts labels of dataset to GloVe vectors.
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*get_avelabel.py* gets labels from label json files.
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*get_avelabel.py* gets labels from label json files.
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*label_similarity.py* is the main function to calculate the similarity given the label files.
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*label_similarity.py* is the main function to calculate the similarity given the label files.

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