Pushing the docs to dev/ for branch: main, commit 0f42a7ebd36cf6283b04be00548f9d7be87e0308

Author: dirty-cat-ci

dev/CHANGES.html

@@ -639,14 +639,17 @@ <h3>Bug Fixes<a class="headerlink" href="#bug-fixes" title="Link to this heading
 <li><p><code class="xref py py-class docutils literal notranslate"><span class="pre">CheckInputDataFrame</span></code> no longer collects Polars LazyFrames automatically;
 a <code class="docutils literal notranslate"><span class="pre">TypeError</span></code> is now raised instead, consistent with the rest of the library.
 <a class="reference external" href="https://github.com/skrub-data/skrub/pull/1941">#1941</a> by <a class="reference external" href="https://github.com/MuditAtrey">Mudit Atrey</a>.</p></li>
+<li><p><code class="xref py py-func docutils literal notranslate"><span class="pre">fetch_employee_salaries()</span></code> now correctly writes the train and test
+split CSV files to their respective paths when <code class="docutils literal notranslate"><span class="pre">split</span></code> is specified.
+<a class="reference external" href="https://github.com/skrub-data/skrub/pull/1964">#1964</a> by <a class="reference external" href="https://github.com/MuditAtrey">MuditAtrey</a>.</p></li>
 </ul>
 </section>
 <section id="documentation">
 <h3>Documentation<a class="headerlink" href="#documentation" title="Link to this heading">#</a></h3>
 <ul class="simple">
 <li><p>Updated gallery examples to load datasets from their file paths using
 <code class="docutils literal notranslate"><span class="pre">pd.read_csv()</span></code>, following the pattern established in <a class="reference external" href="https://github.com/skrub-data/skrub/pull/1852">#1852</a>.
-<a class="reference external" href="https://github.com/skrub-data/skrub/pull/1940">#1940</a> by <a class="reference external" href="https://github.com/MuditAtrey">MuditAtrey</a>.</p></li>
+<a class="reference external" href="https://github.com/skrub-data/skrub/pull/1940">#1940</a> and <a class="reference external" href="https://github.com/skrub-data/skrub/pull/1964">#1964</a> by <a class="reference external" href="https://github.com/MuditAtrey">MuditAtrey</a>.</p></li>
 </ul>
 </section>
 </section>

dev/_downloads/079702aaaa2e975f1668cb635070b620/0050_deduplication.zip

@@ -46,9 +46,13 @@
 # By default, the |fetch_employee_salaries| function returns the training set.
 # We will load the test set later, to evaluate our model on unseen data.
 
+import pandas as pd
+
 from skrub.datasets import fetch_employee_salaries
 
-training_data = fetch_employee_salaries(split="train").employee_salaries
+training_data = pd.read_csv(
+    fetch_employee_salaries(split="train").employee_salaries_path
+)
 
 # %%
 # We can take a look at the dataset using the |TableReport|.
@@ -160,7 +164,7 @@
 # case, "data").
 #
 # We can now get the test set of the employee salaries dataset:
-unseen_data = fetch_employee_salaries(split="test").employee_salaries
+unseen_data = pd.read_csv(fetch_employee_salaries(split="test").employee_salaries_path)
 
 # %%
 # Then, we can use the loaded model to make predictions on the unseen data by