add how to load.

README.md

@@ -6445,6 +6445,39 @@ It is built using the [GlotLID](https://github.com/cisnlp/GlotLID) language iden
 The current version is filtered based on adopted filters from C4, CCNet, MADLAD-400, RedPajama-Data-v2, OSCAR, Gopher, RefinedWeb, FineWeb, Datatrove, Dolma, Pile-CC, Pretrainer's Guide, and GlotScript. We remove personally identifiable information and perform a self-audit to ensure the quality of the generated corpus.  
 We release our pipeline as open-source at [https://github.com/cisnlp/GlotCC](https://github.com/cisnlp/GlotCC).  
 
+
+### Usage (Hugging Face Dataloader)
+
+Replace `eng-Latn` with your specific language.
+
+```python
+! pip install datasets
+```
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset('cis-lmu/GlotCC-V1', 'eng-Latn')
+print(dataset['train'][0])  # First row of eng-Latn
+```
+
+### Download
+
+If you prefer not to use the Hugging Face dataloader or are interested in a specific language, you can download it directly. For example, to download the first file of `eng-Latn`:
+
+```python
+!wget https://huggingface.co/datasets/cis-lmu/GlotCC-V1/blob/main/v1.0/eng-Latn/eng-Latn_0.parquet
+```
+
+Then you can load it with any library that supports Parquet files, such as Pandas:
+
+```python
+import pandas as pd
+
+dataset = pd.read_parquet('/path/to/eng-Latn_0.parquet')
+print(dataset.head())
+```
+
 ## Additional Information
 
 The dataset is currently heavily under audit and changes accordingly.