Update README.md

README.md

@@ -35,6 +35,30 @@ PDFA dataset is a document dataset filtered from the SafeDocs corpus, aka CC-MAI
 This instance of PDFA is in [webdataset](https://github.com/webdataset/webdataset/commits/main) .tar format and can be used with derived forms of the `webdataset` library.
 We recommend to use it with the [chug](https://github.com/huggingface/chug) library, an optimized library for distributed data loading.
 
+
+```python
+dataset = load_dataset('pixparse/pdfa-english-train', streaming=True)
+print(next(iter(dataset['train'])).keys())
+>> dict_keys(['__key__', '__url__', 'json', 'ocr', 'pdf', 'tif'])
+```
+
+For faster download, you can use directly the `huggingface_hub` library. Make sure `hf_transfer` is installed prior to downloading and mind that you have enough space locally. 
+
+```python
+ import os
+ 
+ os.environ["HF_HUB_ENABLE_HF_TRANSFER"] = "1"
+ 
+ from huggingface_hub import HfApi, logging
+ 
+ #logging.set_verbosity_debug()
+ hf = HfApi()
+ hf.snapshot_download("pixparse/pdfa-english-train", repo_type="dataset", local_dir_use_symlinks=False)
+ 
+```
+On a normal setting, the 1.5TB can be downloaded in approximately 4 hours.
+
+
 # TODO The following example uses fitz which is AGPL. We should also recommend the same with pypdf.
 
 ```python