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dataloaders/index.html

@@ -578,7 +578,7 @@ <h1 id="using-dataloaders">Using dataloaders</h1>
     <span class="n">labels</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">concatenate</span><span class="p">(</span><span class="n">labels</span><span class="p">)</span>
     <span class="k">return</span> <span class="n">data_ppi</span><span class="p">,</span> <span class="n">data_flowstats</span><span class="p">,</span> <span class="n">labels</span>
 </code></pre></div>
-<p>When a dataloader is iterated, the returned data are in the format <code>tuple(batch_ppi, batch_flowstats, batch_labels)</code>. The batch size <em>B</em> is configured with <code>batch_size</code> and <code>test_batch_size</code> config options. 
+<p>When a dataloader is iterated, the returned data are in the format <code>tuple(batch_ppi, batch_flowstats, batch_labels)</code>. The batch size <em>B</em> is configured with <code>batch_size</code> and <code>test_batch_size</code> config options.
 The shapes are:</p>
 <ul>
 <li>batch_ppi - <code>(B, [3, 4], 30)</code> - the middle dimension is either 4 when TCP push flags are used (<code>use_push_flags</code>) or 3 otherwise.</li>

dataset_metadata/index.html

@@ -677,7 +677,7 @@ <h2 id="metadata">Metadata</h2>
 <td><em>Application count</em></td>
 <td>191</td>
 <td>102</td>
-<td>182</td>
+<td>180</td>
 </tr>
 <tr>
 <td><em>Background traffic</em></td>

datasets_overview/index.html

@@ -677,7 +677,7 @@ <h2 id="cesnet-tls-year22">CESNET-TLS-Year22</h2>
 <li>Collected in 2022</li>
 <li>Spans one year</li>
 <li>Contains 507 million samples</li>
-<li>Has 182 application classes</li>
+<li>Has 180 application classes</li>
 </ul>
 </div>
 <p>This dataset is similar to CESNET-TLS22; however, it spans the <em>entire year 2022</em>. It will be published in the near future.</p>

index.html

@@ -571,7 +571,7 @@ <h1 id="cesnet-datazoo">CESNET DataZoo</h1>
 </ul>
 </li>
 <li>Built on suitable data structures for experiments with large datasets. There are several caching mechanisms to make repeated runs faster, for example, when searching for the best model configuration.</li>
-<li>Datasets are offered in multiple sizes to give users an option to start the experiments at a smaller scale (also faster dataset download, disk space, etc.). The default is the <code>S</code> size containing 25 million samples. </li>
+<li>Datasets are offered in multiple sizes to give users an option to start experiments at a smaller scale (also faster dataset download, disk space, etc.). The default is the <code>S</code> size containing 25 million samples. </li>
 </ul>