Update README.md

README.md

@@ -45,6 +45,18 @@ The original BookCorpus was introduced by Zhu et al. (2015) in [Aligning Books a
 The BookCorpusOpen dataset was rendered book-by-book into 5.4M examples containing approximately 1.1B words in total. The dataset is stored as a collection of 162 parquet files. It was rendered using the script openly available at [https://github.com/xplip/pixel/blob/main/scripts/data/prerendering/prerender_bookcorpus.py](https://github.com/xplip/pixel/blob/main/scripts/data/prerendering/prerender_bookcorpus.py). The text renderer uses a PyGame backend and a collection of merged Google Noto Sans fonts. The PyGame backend does not support complex text layouts (e.g. ligatures and right-to-left scripts) or emoji, so occurrences of such text in the BookCorpus have not been rendered accurately.
 Each example consists of a "pixel_values" field which stores a 16x8464 (height, width) grayscale image containing the rendered text, and an integer value "num_patches" which stores how many image patches (when splitting the image into 529 non-overlapping patches of resolution 16x16 pixels) in the associated images contain actual text, i.e. are neither blank (fully white) nor are the fully black end-of-sequence patch.
 
+The rendered BookCorpus can be loaded via the datasets library as follows:
+
+```python
+from datasets import load_dataset
+
+# Download the full dataset to disk
+load_dataset("Team-PIXEL/rendered-bookcorpus", split="train")
+
+# Stream the dataset directly from the hub
+load_dataset("Team-PIXEL/rendered-bookcorpus", split="train", streaming=True)
+```
+
 ## Dataset Structure
 
 ### Data Instances