<p dir="auto">I think the dataset section in user guide (<a href="http://scikit-learn.org/dev/datasets/index.html" rel="nofollow">http://scikit-learn.org/dev/datasets/index.html</a>) is hard to follow. See the subsections:</p>
<div class="snippet-clipboard-content notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="5.1. General dataset API
5.2. Toy datasets
5.3. Sample images
5.4. Sample generators
5.5. Datasets in svmlight / libsvm format
5.6. Loading from external datasets
5.7. The Olivetti faces dataset
5.8. The 20 newsgroups text dataset
5.9. Downloading datasets from the mldata.org repository
5.10. The Labeled Faces in the Wild face recognition dataset
5.11. Forest covertypes
5.12. RCV1 dataset
5.13. Kddcup 99 dataset
5.14. Boston House Prices dataset
5.15. Breast Cancer Wisconsin (Diagnostic) Database
5.16. Diabetes dataset
5.17. Optical Recognition of Handwritten Digits Data Set
5.18. Iris Plants Database
5.19. Linnerrud dataset"><pre class="notranslate"><code class="notranslate">5.1. General dataset API
5.2. Toy datasets
5.3. Sample images
5.4. Sample generators
5.5. Datasets in svmlight / libsvm format
5.6. Loading from external datasets
5.7. The Olivetti faces dataset
5.8. The 20 newsgroups text dataset
5.9. Downloading datasets from the mldata.org repository
5.10. The Labeled Faces in the Wild face recognition dataset
5.11. Forest covertypes
5.12. RCV1 dataset
5.13. Kddcup 99 dataset
5.14. Boston House Prices dataset
5.15. Breast Cancer Wisconsin (Diagnostic) Database
5.16. Diabetes dataset
5.17. Optical Recognition of Handwritten Digits Data Set
5.18. Iris Plants Database
5.19. Linnerrud dataset
</code></pre></div>
<p dir="auto">I can't find the logic behind such organization.<br>
I think we should first divide the section into two subsections: one for dataset loaders, one for sample generators. For dataset loaders, we can further divide according to <code class="notranslate">fetch_</code> and <code class="notranslate">load_</code>. For sample generators, we can further divide according to different tasks (e.g., regression, classification).<br>
Related to <a class="issue-link js-issue-link" data-error-text="Failed to load title" data-id="292969074" data-permission-text="Title is private" data-url="https://github.com/scikit-learn/scikit-learn/issues/10555" data-hovercard-type="issue" data-hovercard-url="/scikit-learn/scikit-learn/issues/10555/hovercard" href="https://github.com/scikit-learn/scikit-learn/issues/10555">#10555</a><br>
What do others think?</p>
<p dir="auto">Here is an issue that I came across with Count Vectorizer and its use with Column Transformer and Pipelines</p>
<p dir="auto"><a href="https://stackoverflow.com/questions/54541490/sklearn-text-and-numeric-features-with-columntransformer-has-value-error/57970935#57970935" rel="nofollow">https://stackoverflow.com/questions/54541490/sklearn-text-and-numeric-features-with-columntransformer-has-value-error/57970935#57970935</a></p>
<p dir="auto">I found a work around using by removing the column name to be processed directly instead of just a list.</p>
<p dir="auto">This may be the way that it is intended to function, but if not, a simple bug fix would be just to add a simple line of code to change the list of column names to the content of the list if the length  of the list is one.</p>


<h4 dir="auto">Description</h4>

<h4 dir="auto">Steps/Code to Reproduce</h4>

<h4 dir="auto">Expected Results</h4>

<h4 dir="auto">Actual Results</h4>

<h4 dir="auto">Versions</h4>