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core: update readme

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@@ -147,15 +147,12 @@ license: mit
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  <h1><span><img src="https://www.svgrepo.com/show/374627/dataset.svg" class="feature-icon" style="display: inline; vertical-align: middle;"> Datasets</span></h1>
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  <p class="title-icon" style="font-weight: normal;">
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  Through all research outputs by <code>OSCUR</code>, datasets will be used, while as much as possible striving for open-data.
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  Therefore, to make it easier, we host below a list of open-datasets for <code>OSCUR</code> users to more rapidly access and analyse via the
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  <code>Hugging Face Datasets</code> library.
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  To name a few, this will be including urban tabular datasets, annotated visual data, sensor readings, human behavior markers,
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  and other structured data tailored for urban computing scenarios. Each dataset is formatted for direct integration into machine learning workflows and visual
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  analytics pipelines, supporting applied research and education.
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  </p>
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  <div class="alert alert-info">
 
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  <h1><span><img src="https://www.svgrepo.com/show/374627/dataset.svg" class="feature-icon" style="display: inline; vertical-align: middle;"> Datasets</span></h1>
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  <p class="title-icon" style="font-weight: normal;">
 
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  Through all research outputs by <code>OSCUR</code>, datasets will be used, while as much as possible striving for open-data.
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  Therefore, to make it easier, we host below a list of open-datasets for <code>OSCUR</code> users to more rapidly access and analyse via the
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  <code>Hugging Face Datasets</code> library.
 
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  To name a few, this will be including urban tabular datasets, annotated visual data, sensor readings, human behavior markers,
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  and other structured data tailored for urban computing scenarios. Each dataset is formatted for direct integration into machine learning workflows and visual
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  analytics pipelines, supporting applied research and education.
 
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  </p>
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  <div class="alert alert-info">