Update README.md

README.md

@@ -35,7 +35,7 @@ Check out [chug](https://github.com/huggingface/chug), our optimized library for
 import chug
 task_cfg = chug.DataTaskDocReadCfg(page_sampling='all')
 data_cfg = chug.DataCfg(
-    source='pixparse/IDL-wds',
+    source='pixparse/idl-wds',
     split='train',
     batch_size=None,
     format='hfids',
@@ -56,7 +56,7 @@ This dataset can also be used with webdataset library or current releases of Hug
 Here is an example using the "streaming" parameter. We do recommend downloading the dataset to save bandwidth. 
 
 ```python
-dataset = load_dataset('pixparse/IDL-wds', streaming=True)
+dataset = load_dataset('pixparse/idl-wds', streaming=True)
 print(next(iter(dataset['train'])).keys())
 >> dict_keys(['__key__', '__url__', 'json', 'ocr', 'pdf', 'tif'])
 ```
@@ -73,7 +73,7 @@ For faster download, you can directly use the `huggingface_hub` library. Make su
  
  #logging.set_verbosity_debug()
  hf = HfApi()
- hf.snapshot_download("pixparse/IDL-wds", repo_type="dataset", local_dir_use_symlinks=False)
+ hf.snapshot_download("pixparse/idl-wds", repo_type="dataset", local_dir_use_symlinks=False)
  
 ```