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@@ -18,7 +18,7 @@ Each column in the csv file is for an item, indexed by book/movie ID. The order
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  By solving the ISP with Text-based Selection in Selective, we select a smaller subset of items with maximum diversity in the latent embedding space of items and maximum coverage of labels.
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  ## Quick Start
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- To run the example, install [Selective](https://github.com/fidelity/selective) by `pip install selective`
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  ```python
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  # Import Selective (for text-based selection) and TextWiser (for embedding space)
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  import pandas as pd
 
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  By solving the ISP with Text-based Selection in Selective, we select a smaller subset of items with maximum diversity in the latent embedding space of items and maximum coverage of labels.
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  ## Quick Start
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+ To run the example, install required packages by `pip install selective datasets`
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  ```python
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  # Import Selective (for text-based selection) and TextWiser (for embedding space)
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  import pandas as pd