Update dataset count from 200k to 400k for consistency with huggingface#1751 (huggingface#1900)

* Initial plan

* Update dataset count from 200k to 400k for consistency

Co-authored-by: julien-c <[email protected]>

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Co-authored-by: copilot-swe-agent[bot] <[email protected]>
Co-authored-by: julien-c <[email protected]>

Author: 2 people

docs/hub/index.md

@@ -115,7 +115,7 @@ To upload models to the Hub, or download models and integrate them into your wor
 
 ## Datasets
 
-The Hub is home to over 200k datasets in more than 8k languages that can be used for a broad range of tasks across NLP, Computer Vision, and Audio. The Hub makes it simple to find, download, and upload datasets. Datasets are accompanied by extensive documentation in the form of [**Dataset Cards**](./datasets-cards) and [**Dataset Viewer**](./datasets-viewer) to let you explore the data directly in your browser. While many datasets are public, [**organizations**](./organizations) and individuals can create private datasets to comply with licensing or privacy issues. You can learn more about [**Datasets here on Hugging Face Hub documentation**](./datasets-overview).
+The Hub is home to over 400k datasets in more than 8k languages that can be used for a broad range of tasks across NLP, Computer Vision, and Audio. The Hub makes it simple to find, download, and upload datasets. Datasets are accompanied by extensive documentation in the form of [**Dataset Cards**](./datasets-cards) and [**Dataset Viewer**](./datasets-viewer) to let you explore the data directly in your browser. While many datasets are public, [**organizations**](./organizations) and individuals can create private datasets to comply with licensing or privacy issues. You can learn more about [**Datasets here on Hugging Face Hub documentation**](./datasets-overview).
 
 The [🤗 `datasets`](https://huggingface.co/docs/datasets/index) library allows you to programmatically interact with the datasets, so you can easily use datasets from the Hub in your projects. With a single line of code, you can access the datasets; even if they are so large they don't fit in your computer, you can use streaming to efficiently access the data.