rwightman HF staff commited on
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Update README.md

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  1. README.md +3 -3
README.md CHANGED
@@ -35,7 +35,7 @@ Check out [chug](https://github.com/huggingface/chug), our optimized library for
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  import chug
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  task_cfg = chug.DataTaskDocReadCfg(page_sampling='all')
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  data_cfg = chug.DataCfg(
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- source='pixparse/IDL-wds',
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  split='train',
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  batch_size=None,
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  format='hfids',
@@ -56,7 +56,7 @@ This dataset can also be used with webdataset library or current releases of Hug
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  Here is an example using the "streaming" parameter. We do recommend downloading the dataset to save bandwidth.
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  ```python
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- dataset = load_dataset('pixparse/IDL-wds', streaming=True)
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  print(next(iter(dataset['train'])).keys())
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  >> dict_keys(['__key__', '__url__', 'json', 'ocr', 'pdf', 'tif'])
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  ```
@@ -73,7 +73,7 @@ For faster download, you can directly use the `huggingface_hub` library. Make su
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  #logging.set_verbosity_debug()
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  hf = HfApi()
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- hf.snapshot_download("pixparse/IDL-wds", repo_type="dataset", local_dir_use_symlinks=False)
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  ```
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  import chug
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  task_cfg = chug.DataTaskDocReadCfg(page_sampling='all')
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  data_cfg = chug.DataCfg(
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+ source='pixparse/idl-wds',
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  split='train',
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  batch_size=None,
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  format='hfids',
 
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  Here is an example using the "streaming" parameter. We do recommend downloading the dataset to save bandwidth.
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  ```python
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+ dataset = load_dataset('pixparse/idl-wds', streaming=True)
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  print(next(iter(dataset['train'])).keys())
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  >> dict_keys(['__key__', '__url__', 'json', 'ocr', 'pdf', 'tif'])
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  ```
 
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  #logging.set_verbosity_debug()
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  hf = HfApi()
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+ hf.snapshot_download("pixparse/idl-wds", repo_type="dataset", local_dir_use_symlinks=False)
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  ```
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